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description Publicationkeyboard_double_arrow_right Conference object 2022 ItalyPublisher:IEEE Authors:Ceschini A.;
Rosato A.; Succetti F.;Ceschini A.
Ceschini A. in OpenAIREAraneo R.;
+1 AuthorsAraneo R.
Araneo R. in OpenAIRECeschini A.;
Rosato A.; Succetti F.;Ceschini A.
Ceschini A. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIREPanella M.;
Panella M.
Panella M. in OpenAIREhandle: 11573/1655500
Classification of time series is a fundamental problem in energy distribution, especially to extract information about events that occurred during the observation period. In this paper, we propose a solution to the problem of identifying energy thefts by introducing a classification method based on convolutional neural networks. The input structure to the model is based on real data that have been certified by external authorities and regards thefts operated by the final user with physical intervention. The training of the neural network is done by means of yearly time series of monthly data, which pertain to different physical quantities relevant to the user profile. The proposed method has been experimentally tested and verified against acceptable test results in different conditions, even giving an indication on where in the sequence the theft has occurred.
Archivio della ricer... arrow_drop_down https://doi.org/10.1109/eeeic/...Conference object . 2022 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/eeeic/icpseurope54979.2022.9854628&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down https://doi.org/10.1109/eeeic/...Conference object . 2022 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/eeeic/icpseurope54979.2022.9854628&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2022 ItalyPublisher:IEEE Authors:Ceschini A.;
Rosato A.; Succetti F.;Ceschini A.
Ceschini A. in OpenAIREAraneo R.;
+1 AuthorsAraneo R.
Araneo R. in OpenAIRECeschini A.;
Rosato A.; Succetti F.;Ceschini A.
Ceschini A. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIREPanella M.;
Panella M.
Panella M. in OpenAIREhandle: 11573/1655500
Classification of time series is a fundamental problem in energy distribution, especially to extract information about events that occurred during the observation period. In this paper, we propose a solution to the problem of identifying energy thefts by introducing a classification method based on convolutional neural networks. The input structure to the model is based on real data that have been certified by external authorities and regards thefts operated by the final user with physical intervention. The training of the neural network is done by means of yearly time series of monthly data, which pertain to different physical quantities relevant to the user profile. The proposed method has been experimentally tested and verified against acceptable test results in different conditions, even giving an indication on where in the sequence the theft has occurred.
Archivio della ricer... arrow_drop_down https://doi.org/10.1109/eeeic/...Conference object . 2022 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/eeeic/icpseurope54979.2022.9854628&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down https://doi.org/10.1109/eeeic/...Conference object . 2022 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/eeeic/icpseurope54979.2022.9854628&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 ItalyPublisher:MDPI AG Authors:Stracqualursi E.;
Stracqualursi E.
Stracqualursi E. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIRECelozzi S.;
Celozzi S.
Celozzi S. in OpenAIREdoi: 10.3390/en14206612
handle: 11573/1617529
Research on corona discharge, shared by physics, chemistry and electrical engineering, has not arrested yet. As a dissipative process, the development of corona increases the resistive losses of transmission lines and enhances the line capacitance locally. Introducing additional losses and propagation delay, along the line, non-linearity and non-uniformity of the line parameters; therefore, corona should not be neglected. The present work is meant to provide the reader with comprehensive information on the corona macroscopic phenomenology and development, referring to the most relevant contributions in the literature on this subject. The models proposed in the literature for the simulation of the corona development are reviewed in detail, and sensitivity curves are provided to highlight their dependence on the input parameters.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1617529/1/Stracqualursi_The%20corona%20phenomenon_2022.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14206612&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 17 citations 17 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1617529/1/Stracqualursi_The%20corona%20phenomenon_2022.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14206612&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 ItalyPublisher:MDPI AG Authors:Stracqualursi E.;
Stracqualursi E.
Stracqualursi E. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIRECelozzi S.;
Celozzi S.
Celozzi S. in OpenAIREdoi: 10.3390/en14206612
handle: 11573/1617529
Research on corona discharge, shared by physics, chemistry and electrical engineering, has not arrested yet. As a dissipative process, the development of corona increases the resistive losses of transmission lines and enhances the line capacitance locally. Introducing additional losses and propagation delay, along the line, non-linearity and non-uniformity of the line parameters; therefore, corona should not be neglected. The present work is meant to provide the reader with comprehensive information on the corona macroscopic phenomenology and development, referring to the most relevant contributions in the literature on this subject. The models proposed in the literature for the simulation of the corona development are reviewed in detail, and sensitivity curves are provided to highlight their dependence on the input parameters.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1617529/1/Stracqualursi_The%20corona%20phenomenon_2022.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14206612&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 17 citations 17 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1617529/1/Stracqualursi_The%20corona%20phenomenon_2022.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14206612&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020 ItalyPublisher:MDPI AG Authors:Fabrizio De Caro;
Fabrizio De Caro
Fabrizio De Caro in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREMassimo Panella;
+3 AuthorsMassimo Panella
Massimo Panella in OpenAIREFabrizio De Caro;
Fabrizio De Caro
Fabrizio De Caro in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREMassimo Panella;
Antonello Rosato;Massimo Panella
Massimo Panella in OpenAIREAlfredo Vaccaro;
Domenico Villacci;Alfredo Vaccaro
Alfredo Vaccaro in OpenAIREdoi: 10.3390/en13246579
handle: 11588/867038 , 11573/1466603
The large-scale deployment of pervasive sensors and decentralized computing in modern smart grids is expected to exponentially increase the volume of data exchanged by power system applications. In this context, the research for scalable and flexible methodologies aimed at supporting rapid decisions in a data rich, but information limited environment represents a relevant issue to address. To this aim, this paper investigates the role of Knowledge Discovery from massive Datasets in smart grid computing, exploring its various application fields by considering the power system stakeholder available data and knowledge extraction needs. In particular, the aim of this paper is dual. In the first part, the authors summarize the most recent activities developed in this field by the Task Force on “Enabling Paradigms for High-Performance Computing in Wide Area Monitoring Protective and Control Systems” of the IEEE PSOPE Technologies and Innovation Subcommittee. Differently, in the second part, the authors propose the development of a data-driven forecasting methodology, which is modeled by considering the fundamental principles of Knowledge Discovery Process data workflow. Furthermore, the described methodology is applied to solve the load forecasting problem for a complex user case, in order to emphasize the potential role of knowledge discovery in supporting post processing analysis in data-rich environments, as feedback for the improvement of the forecasting performances.
Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/24/6579/pdfData sources: Multidisciplinary Digital Publishing InstituteArchivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1466603/3/DeCaro_Rewiew-of-the-enabling_2020.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13246579&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/24/6579/pdfData sources: Multidisciplinary Digital Publishing InstituteArchivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1466603/3/DeCaro_Rewiew-of-the-enabling_2020.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13246579&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020 ItalyPublisher:MDPI AG Authors:Fabrizio De Caro;
Fabrizio De Caro
Fabrizio De Caro in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREMassimo Panella;
+3 AuthorsMassimo Panella
Massimo Panella in OpenAIREFabrizio De Caro;
Fabrizio De Caro
Fabrizio De Caro in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREMassimo Panella;
Antonello Rosato;Massimo Panella
Massimo Panella in OpenAIREAlfredo Vaccaro;
Domenico Villacci;Alfredo Vaccaro
Alfredo Vaccaro in OpenAIREdoi: 10.3390/en13246579
handle: 11588/867038 , 11573/1466603
The large-scale deployment of pervasive sensors and decentralized computing in modern smart grids is expected to exponentially increase the volume of data exchanged by power system applications. In this context, the research for scalable and flexible methodologies aimed at supporting rapid decisions in a data rich, but information limited environment represents a relevant issue to address. To this aim, this paper investigates the role of Knowledge Discovery from massive Datasets in smart grid computing, exploring its various application fields by considering the power system stakeholder available data and knowledge extraction needs. In particular, the aim of this paper is dual. In the first part, the authors summarize the most recent activities developed in this field by the Task Force on “Enabling Paradigms for High-Performance Computing in Wide Area Monitoring Protective and Control Systems” of the IEEE PSOPE Technologies and Innovation Subcommittee. Differently, in the second part, the authors propose the development of a data-driven forecasting methodology, which is modeled by considering the fundamental principles of Knowledge Discovery Process data workflow. Furthermore, the described methodology is applied to solve the load forecasting problem for a complex user case, in order to emphasize the potential role of knowledge discovery in supporting post processing analysis in data-rich environments, as feedback for the improvement of the forecasting performances.
Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/24/6579/pdfData sources: Multidisciplinary Digital Publishing InstituteArchivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1466603/3/DeCaro_Rewiew-of-the-enabling_2020.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13246579&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/24/6579/pdfData sources: Multidisciplinary Digital Publishing InstituteArchivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1466603/3/DeCaro_Rewiew-of-the-enabling_2020.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13246579&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2004 ItalyPublisher:IEEE Authors:ARANEO, Rodolfo;
G. GUIDA;ARANEO, Rodolfo
ARANEO, Rodolfo in OpenAIREMARADEI, Francescaromana;
MARADEI, Francescaromana
MARADEI, Francescaromana in OpenAIRECELOZZI, Salvatore;
CELOZZI, Salvatore
CELOZZI, Salvatore in OpenAIREhandle: 11573/233613
Actual interconnects are analysed and simulated by means of equivalent Spice-like circuits accounting for both dielectric and conductive losses. New analytical expressions are proposed for the effective permittivity allowing fast and accurate propagation sensitivity analysis with respect to parametric variations of configuration and materials. Accuracy of equivalent circuits is tested against analytical models, while the model of the effective permittivity is compared with numerical results.
https://doi.org/10.2... arrow_drop_down https://doi.org/10.23919/emc.2...Conference object . 2004 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefArchivio della ricerca- Università di Roma La SapienzaConference object . 2004Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/emc.2004.10805905&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.2... arrow_drop_down https://doi.org/10.23919/emc.2...Conference object . 2004 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefArchivio della ricerca- Università di Roma La SapienzaConference object . 2004Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/emc.2004.10805905&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2004 ItalyPublisher:IEEE Authors:ARANEO, Rodolfo;
G. GUIDA;ARANEO, Rodolfo
ARANEO, Rodolfo in OpenAIREMARADEI, Francescaromana;
MARADEI, Francescaromana
MARADEI, Francescaromana in OpenAIRECELOZZI, Salvatore;
CELOZZI, Salvatore
CELOZZI, Salvatore in OpenAIREhandle: 11573/233613
Actual interconnects are analysed and simulated by means of equivalent Spice-like circuits accounting for both dielectric and conductive losses. New analytical expressions are proposed for the effective permittivity allowing fast and accurate propagation sensitivity analysis with respect to parametric variations of configuration and materials. Accuracy of equivalent circuits is tested against analytical models, while the model of the effective permittivity is compared with numerical results.
https://doi.org/10.2... arrow_drop_down https://doi.org/10.23919/emc.2...Conference object . 2004 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefArchivio della ricerca- Università di Roma La SapienzaConference object . 2004Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/emc.2004.10805905&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.2... arrow_drop_down https://doi.org/10.23919/emc.2...Conference object . 2004 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefArchivio della ricerca- Università di Roma La SapienzaConference object . 2004Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/emc.2004.10805905&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Authors:Antonello Rosato;
Antonello Rosato
Antonello Rosato in OpenAIREMassimo Panella;
Massimo Panella
Massimo Panella in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIREhandle: 11588/867043 , 11573/1310759
In the modern scenario of smart-grids, the concept of virtual power plant (VPP) is undoubtedly a cornerstone for the smooth integration of renewable energy sources into existing energy systems with a high penetration level. A VPP is the aggregation of decentralized medium-scale power sources, including photovoltaic and wind power plants, combined heat and power units, as well as demand-responsive loads and storage systems, with a twofold objective. On one hand, VPP relieves the stability and dispatchability problems on the external smart grid since it can be operated on an individual basis, appearing as a single system on the whole. On the other hand, VPP improves flexibility coming from all the networked units and enable traders to enhance forecasting and trading programs of renewable energies. This paper proposes a novel distributed decentralized prediction method for the management of VPPs. The novelty of the proposed technique is to effectively combine the concepts of neural networks and machine learning with a distributed architecture that is suitable for the aggregation purposes of the VPP.
IEEE Transactions on... arrow_drop_down IEEE Transactions on Industry ApplicationsArticleLicense: publisher-specific, author manuscriptData sources: UnpayWallIEEE Transactions on Industry ApplicationsArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tia.2019.2916758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 70 citations 70 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert IEEE Transactions on... arrow_drop_down IEEE Transactions on Industry ApplicationsArticleLicense: publisher-specific, author manuscriptData sources: UnpayWallIEEE Transactions on Industry ApplicationsArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tia.2019.2916758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Authors:Antonello Rosato;
Antonello Rosato
Antonello Rosato in OpenAIREMassimo Panella;
Massimo Panella
Massimo Panella in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIREhandle: 11588/867043 , 11573/1310759
In the modern scenario of smart-grids, the concept of virtual power plant (VPP) is undoubtedly a cornerstone for the smooth integration of renewable energy sources into existing energy systems with a high penetration level. A VPP is the aggregation of decentralized medium-scale power sources, including photovoltaic and wind power plants, combined heat and power units, as well as demand-responsive loads and storage systems, with a twofold objective. On one hand, VPP relieves the stability and dispatchability problems on the external smart grid since it can be operated on an individual basis, appearing as a single system on the whole. On the other hand, VPP improves flexibility coming from all the networked units and enable traders to enhance forecasting and trading programs of renewable energies. This paper proposes a novel distributed decentralized prediction method for the management of VPPs. The novelty of the proposed technique is to effectively combine the concepts of neural networks and machine learning with a distributed architecture that is suitable for the aggregation purposes of the VPP.
IEEE Transactions on... arrow_drop_down IEEE Transactions on Industry ApplicationsArticleLicense: publisher-specific, author manuscriptData sources: UnpayWallIEEE Transactions on Industry ApplicationsArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tia.2019.2916758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 70 citations 70 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert IEEE Transactions on... arrow_drop_down IEEE Transactions on Industry ApplicationsArticleLicense: publisher-specific, author manuscriptData sources: UnpayWallIEEE Transactions on Industry ApplicationsArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tia.2019.2916758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2019 ItalyPublisher:Institute of Electrical and Electronics Engineers Inc. Authors:Araneo R.;
Araneo R.
Araneo R. in OpenAIRECelozzi S.;
Faria J. B.; Andreotti A.; +1 AuthorsCelozzi S.
Celozzi S. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIRECelozzi S.;
Faria J. B.; Andreotti A.; Verolino L.;Celozzi S.
Celozzi S. in OpenAIREhandle: 11573/1336414
We investigate the improvement of the lightning performance of overhead distribution lines by additional ground wires placed beneath phase conductors. We adopt a time-domain method based on the matrix formalism of multiconductor (MTL) transmission lines that allows for the computation of overvoltages across insulator strings, when direct lightning hits a tower or a ground wire.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=11573/1336414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=11573/1336414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2019 ItalyPublisher:Institute of Electrical and Electronics Engineers Inc. Authors:Araneo R.;
Araneo R.
Araneo R. in OpenAIRECelozzi S.;
Faria J. B.; Andreotti A.; +1 AuthorsCelozzi S.
Celozzi S. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIRECelozzi S.;
Faria J. B.; Andreotti A.; Verolino L.;Celozzi S.
Celozzi S. in OpenAIREhandle: 11573/1336414
We investigate the improvement of the lightning performance of overhead distribution lines by additional ground wires placed beneath phase conductors. We adopt a time-domain method based on the matrix formalism of multiconductor (MTL) transmission lines that allows for the computation of overvoltages across insulator strings, when direct lightning hits a tower or a ground wire.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=11573/1336414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=11573/1336414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 ItalyPublisher:MDPI AG Authors:Gianfranco Di Lorenzo;
Gianfranco Di Lorenzo
Gianfranco Di Lorenzo in OpenAIREErika Stracqualursi;
Erika Stracqualursi
Erika Stracqualursi in OpenAIRERodolfo ARANEO;
Rodolfo ARANEO
Rodolfo ARANEO in OpenAIREdoi: 10.3390/en15186652
handle: 11573/1666883
Over the past decade, decarbonization and environmental issues have taken a key role in worldwide politics [...]
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2022License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1666883/1/Di%20Lorenzo_The%20journey%20towards_2022.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en15186652&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2022License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1666883/1/Di%20Lorenzo_The%20journey%20towards_2022.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en15186652&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 ItalyPublisher:MDPI AG Authors:Gianfranco Di Lorenzo;
Gianfranco Di Lorenzo
Gianfranco Di Lorenzo in OpenAIREErika Stracqualursi;
Erika Stracqualursi
Erika Stracqualursi in OpenAIRERodolfo ARANEO;
Rodolfo ARANEO
Rodolfo ARANEO in OpenAIREdoi: 10.3390/en15186652
handle: 11573/1666883
Over the past decade, decarbonization and environmental issues have taken a key role in worldwide politics [...]
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2022License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1666883/1/Di%20Lorenzo_The%20journey%20towards_2022.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en15186652&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2022License: CC BYFull-Text: https://iris.uniroma1.it/bitstream/11573/1666883/1/Di%20Lorenzo_The%20journey%20towards_2022.pdfData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en15186652&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Authors:Cristina Moscatiello;
Cristina Moscatiello
Cristina Moscatiello in OpenAIRERiccardo Loggia;
Riccardo Loggia
Riccardo Loggia in OpenAIREGianfranco di Lorenzo;
Gianfranco di Lorenzo
Gianfranco di Lorenzo in OpenAIREAlessandro Lorenzo Palma;
+6 AuthorsAlessandro Lorenzo Palma
Alessandro Lorenzo Palma in OpenAIRECristina Moscatiello;
Cristina Moscatiello
Cristina Moscatiello in OpenAIRERiccardo Loggia;
Riccardo Loggia
Riccardo Loggia in OpenAIREGianfranco di Lorenzo;
Gianfranco di Lorenzo
Gianfranco di Lorenzo in OpenAIREAlessandro Lorenzo Palma;
Mostafa Kermani;Alessandro Lorenzo Palma
Alessandro Lorenzo Palma in OpenAIRERoberto Faranda;
Roberto Faranda
Roberto Faranda in OpenAIREFrancesca Oliva;
Francesca Oliva
Francesca Oliva in OpenAIREEnrico Tironi;
Enrico Tironi
Enrico Tironi in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIRELuigi Martirano;
Luigi Martirano
Luigi Martirano in OpenAIREhandle: 11573/1681616 , 11311/1248762
In recent years the development of LVDC distribution networks is under consideration. DC electrical distributions offer several advantages compared to AC ones in many applications, in particular in the presence of energy storage systems and distributed generation like high efficacy, flexibility and simple integration of renewables. The DC distribution allows to integrate in a more efficient “microgrid” different sources with DC/DC converters. The paper proposes an innovative model of microgrid configuration for aggregations of end-users able to share the power produced by common generators and energy services named by the authors Power Sharing Model (PSM) using a DC bus that connects in a one way approach, the common generators to the end-users. The paper investigates on the different suggested configurations of the PSM, with the converter characteristics and controls. A simplified case study is analyzed to test the performance of the sharing model and the stability of the control in different scenarios. The paper compares the PSM based on a LVDC grid with existing approaches of virtual aggregations, and it highlights the main differences between the currently existing methods and our new LVDC microgrid approach. The suggested PSM appears more efficient, convenient and flexible than the existing virtual models, because users physically self-consume and share the energy locally generated.
Archivio della ricer... arrow_drop_down IEEE Transactions on Industry ApplicationsArticle . 2023 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tia.2023.3274102&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down IEEE Transactions on Industry ApplicationsArticle . 2023 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tia.2023.3274102&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Authors:Cristina Moscatiello;
Cristina Moscatiello
Cristina Moscatiello in OpenAIRERiccardo Loggia;
Riccardo Loggia
Riccardo Loggia in OpenAIREGianfranco di Lorenzo;
Gianfranco di Lorenzo
Gianfranco di Lorenzo in OpenAIREAlessandro Lorenzo Palma;
+6 AuthorsAlessandro Lorenzo Palma
Alessandro Lorenzo Palma in OpenAIRECristina Moscatiello;
Cristina Moscatiello
Cristina Moscatiello in OpenAIRERiccardo Loggia;
Riccardo Loggia
Riccardo Loggia in OpenAIREGianfranco di Lorenzo;
Gianfranco di Lorenzo
Gianfranco di Lorenzo in OpenAIREAlessandro Lorenzo Palma;
Mostafa Kermani;Alessandro Lorenzo Palma
Alessandro Lorenzo Palma in OpenAIRERoberto Faranda;
Roberto Faranda
Roberto Faranda in OpenAIREFrancesca Oliva;
Francesca Oliva
Francesca Oliva in OpenAIREEnrico Tironi;
Enrico Tironi
Enrico Tironi in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIRELuigi Martirano;
Luigi Martirano
Luigi Martirano in OpenAIREhandle: 11573/1681616 , 11311/1248762
In recent years the development of LVDC distribution networks is under consideration. DC electrical distributions offer several advantages compared to AC ones in many applications, in particular in the presence of energy storage systems and distributed generation like high efficacy, flexibility and simple integration of renewables. The DC distribution allows to integrate in a more efficient “microgrid” different sources with DC/DC converters. The paper proposes an innovative model of microgrid configuration for aggregations of end-users able to share the power produced by common generators and energy services named by the authors Power Sharing Model (PSM) using a DC bus that connects in a one way approach, the common generators to the end-users. The paper investigates on the different suggested configurations of the PSM, with the converter characteristics and controls. A simplified case study is analyzed to test the performance of the sharing model and the stability of the control in different scenarios. The paper compares the PSM based on a LVDC grid with existing approaches of virtual aggregations, and it highlights the main differences between the currently existing methods and our new LVDC microgrid approach. The suggested PSM appears more efficient, convenient and flexible than the existing virtual models, because users physically self-consume and share the energy locally generated.
Archivio della ricer... arrow_drop_down IEEE Transactions on Industry ApplicationsArticle . 2023 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tia.2023.3274102&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down IEEE Transactions on Industry ApplicationsArticle . 2023 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tia.2023.3274102&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 ItalyPublisher:MDPI AG Authors:Antonello Rosato;
Antonello Rosato
Antonello Rosato in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIREFederico Succetti;
+1 AuthorsFederico Succetti
Federico Succetti in OpenAIREAntonello Rosato;
Antonello Rosato
Antonello Rosato in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIREFederico Succetti;
Federico Succetti
Federico Succetti in OpenAIREMassimo Panella;
Massimo Panella
Massimo Panella in OpenAIREdoi: 10.3390/en14092392
handle: 11588/866421 , 11573/1541789
Here, we propose a new deep learning scheme to solve the energy time series prediction problem. The model implementation is based on the use of Long Short-Term Memory networks and Convolutional Neural Networks. These techniques are combined in such a fashion that inter-dependencies among several different time series can be exploited and used for forecasting purposes by filtering and joining their samples. The resulting learning scheme can be summarized as a superposition of network layers, resulting in a stacked deep neural architecture. We proved the accuracy and robustness of the proposed approach by testing it on real-world energy problems.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/9/2392/pdfData sources: Multidisciplinary Digital Publishing InstituteArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BYData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14092392&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 18 citations 18 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/9/2392/pdfData sources: Multidisciplinary Digital Publishing InstituteArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BYData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14092392&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 ItalyPublisher:MDPI AG Authors:Antonello Rosato;
Antonello Rosato
Antonello Rosato in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIREFederico Succetti;
+1 AuthorsFederico Succetti
Federico Succetti in OpenAIREAntonello Rosato;
Antonello Rosato
Antonello Rosato in OpenAIRERodolfo Araneo;
Rodolfo Araneo
Rodolfo Araneo in OpenAIREAmedeo Andreotti;
Amedeo Andreotti
Amedeo Andreotti in OpenAIREFederico Succetti;
Federico Succetti
Federico Succetti in OpenAIREMassimo Panella;
Massimo Panella
Massimo Panella in OpenAIREdoi: 10.3390/en14092392
handle: 11588/866421 , 11573/1541789
Here, we propose a new deep learning scheme to solve the energy time series prediction problem. The model implementation is based on the use of Long Short-Term Memory networks and Convolutional Neural Networks. These techniques are combined in such a fashion that inter-dependencies among several different time series can be exploited and used for forecasting purposes by filtering and joining their samples. The resulting learning scheme can be summarized as a superposition of network layers, resulting in a stacked deep neural architecture. We proved the accuracy and robustness of the proposed approach by testing it on real-world energy problems.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/9/2392/pdfData sources: Multidisciplinary Digital Publishing InstituteArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BYData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14092392&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 18 citations 18 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/9/2392/pdfData sources: Multidisciplinary Digital Publishing InstituteArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BYData sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14092392&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 ItalyPublisher:Elsevier BV Authors:Di Lorenzo G.;
Di Lorenzo G.
Di Lorenzo G. in OpenAIRERotondo S.;
Rotondo S.
Rotondo S. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIREPetrone G.;
+1 AuthorsPetrone G.
Petrone G. in OpenAIREDi Lorenzo G.;
Di Lorenzo G.
Di Lorenzo G. in OpenAIRERotondo S.;
Rotondo S.
Rotondo S. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIREPetrone G.;
Petrone G.
Petrone G. in OpenAIREMartirano L.;
Martirano L.
Martirano L. in OpenAIREhandle: 11386/4764683 , 11573/1539217
Abstract The paper proposes an innovative power-sharing model, i.e., a power-system architecture for aggregation of users able to share the power produced by common generators and energy services. The model is suitable for both multi-tenant buildings and groups of multiple buildings and it is applicable for both existing and new buildings. It is scalable for larger systems and suitable for an easier integration with storage systems. The novel principle of the model is that the energy produced by common generators can be shared among the end-users in a unidirectional way, so that each user remains passive towards the distributor, except a single active user that assumes the role of balance node. This key feature allows for easily implementing the model in all the residential and tertiary multi-units buildings in full compliance with national regulations, with the adoption of power sharing contracts as well. This paper discusses the feasibility of the model through a dynamic Matlab/Simulink model, which is used to show its effectiveness in several case studies. The significance of this work consists of approaching the energy sharing in buildings with a completely new strategy, based on an innovative system architecture that can be effectively implemented.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2021.03.063&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu38 citations 38 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2021.03.063&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 ItalyPublisher:Elsevier BV Authors:Di Lorenzo G.;
Di Lorenzo G.
Di Lorenzo G. in OpenAIRERotondo S.;
Rotondo S.
Rotondo S. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIREPetrone G.;
+1 AuthorsPetrone G.
Petrone G. in OpenAIREDi Lorenzo G.;
Di Lorenzo G.
Di Lorenzo G. in OpenAIRERotondo S.;
Rotondo S.
Rotondo S. in OpenAIREAraneo R.;
Araneo R.
Araneo R. in OpenAIREPetrone G.;
Petrone G.
Petrone G. in OpenAIREMartirano L.;
Martirano L.
Martirano L. in OpenAIREhandle: 11386/4764683 , 11573/1539217
Abstract The paper proposes an innovative power-sharing model, i.e., a power-system architecture for aggregation of users able to share the power produced by common generators and energy services. The model is suitable for both multi-tenant buildings and groups of multiple buildings and it is applicable for both existing and new buildings. It is scalable for larger systems and suitable for an easier integration with storage systems. The novel principle of the model is that the energy produced by common generators can be shared among the end-users in a unidirectional way, so that each user remains passive towards the distributor, except a single active user that assumes the role of balance node. This key feature allows for easily implementing the model in all the residential and tertiary multi-units buildings in full compliance with national regulations, with the adoption of power sharing contracts as well. This paper discusses the feasibility of the model through a dynamic Matlab/Simulink model, which is used to show its effectiveness in several case studies. The significance of this work consists of approaching the energy sharing in buildings with a completely new strategy, based on an innovative system architecture that can be effectively implemented.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2021.03.063&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu38 citations 38 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2021.03.063&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu