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description Publicationkeyboard_double_arrow_right Article , Preprint , Journal , Other literature type 2016Embargo end date: 01 Jan 2016Publisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:NSF | CPS: Medium: Collaborativ..., NSERCNSF| CPS: Medium: Collaborative Research: The Cyber-Physical Challenges of Transient Stability and Security in Power Grids ,NSERCAuthors: John W. Simpson-Porco; Francesco Bullo;arXiv: 1602.05632
The assessment of voltage stability margins is a promising direction for wide-area monitoring systems. Accurate monitoring architectures for long-term voltage instability are typically centralized and lack scalability, while completely decentralized approaches relying on local measurements tend towards inaccuracy. Here we present distributed linear algorithms for the online computation of voltage collapse sensitivity indices. The computations are collectively performed by processors embedded at each bus in the smart grid, using synchronized phasor measurements and communication of voltage phasors between neighboring buses. Our algorithms provably converge to the proper index values, as would be calculated using centralized information, but but do not require any central decision maker for coordination. Modifications of the algorithms to account for generator reactive power limits are discussed. We illustrate the effectiveness of our designs with a case study of the New England 39 bus system. 10 pages, submitted for publication
IEEE Transactions on... arrow_drop_down IEEE Transactions on Smart GridArticleLicense: publisher-specific, author manuscriptData sources: UnpayWallIEEE Transactions on Smart GridArticle . 2016 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2016License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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/tsg.2016.2533319&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 41 citations 41 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert IEEE Transactions on... arrow_drop_down IEEE Transactions on Smart GridArticleLicense: publisher-specific, author manuscriptData sources: UnpayWallIEEE Transactions on Smart GridArticle . 2016 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2016License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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/tsg.2016.2533319&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 1979Publisher:The Chemical Society of Japan Authors: Masamichi AKIMOTO; I. G. DALLA LANA;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=10.1246/nikkashi.1979.579&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 3 citations 3 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=10.1246/nikkashi.1979.579&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2010Publisher:American Chemical Society (ACS) Authors: John A. Ripmeester;Peter Englezos;
Peter Englezos
Peter Englezos in OpenAIREPraveen Linga;
Cef Haligva;Praveen Linga
Praveen Linga in OpenAIREdoi: 10.1021/ef901220m
Methane hydrate was formed in water occupying the interstitial spaces of a cylindrical bed of silica sand particles. The sand particles have an average diameter equal to 329 μm. The amount of methane consumed during the experiment (methane gas uptake) was determined through pressure and temperature measurements and mass balance calculations. Three different sized beds of silica sand particles were used. Water conversion to hydrates in the range of 73−84% was achieved for all of the formation experiments. Hydrate formation was followed by decomposition at 4.0 °C driven by depressurization at 3.1 MPa (nine experiments) and 2.3 MPa (one experiment). Methane recovery measurement curves were determined for each experiment. The initial rate of recovery was found to be strongly dependent on the silica sand bed size. The rate of recovery was found to depend weakly on the size during the second stage, and after 1.25 h, it was constant. During decomposition at 2.3 MPa, the temperature in some locations inside the b...
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=10.1021/ef901220m&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 152 citations 152 popularity Top 1% influence Top 10% impulse Top 10% 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=10.1021/ef901220m&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019Publisher:IOP Publishing Authors: Alain Moreau; Fariborz Haghighat; Ying Sun;Mahmood Mastani Joybari;
+2 AuthorsMahmood Mastani Joybari
Mahmood Mastani Joybari in OpenAIREAlain Moreau; Fariborz Haghighat; Ying Sun;Mahmood Mastani Joybari;
M Robichaud;Mahmood Mastani Joybari
Mahmood Mastani Joybari in OpenAIREKarthik Panchabikesan;
Karthik Panchabikesan
Karthik Panchabikesan in OpenAIREAbstract In Canada, space heating accounts for the largest proportion of energy consumption in residential buildings. Therefore, accurately predicting the heating demand and interior temperature of a residential building plays a vital role in estimating the building’s total energy consumption with the consideration of thermal comfort. The prediction results obtained through different models could be used to develop predictive controllers to achieve peak shifting as well as to provide utility providers with valuable information for electric power distribution. Common methods to predict heating demand mainly include physical models and statistical methods. This study used two physical models (i.e. TRNSYS model and TRNSYS-CONTAM model) and one statistical model using supervised machine learning algorithm to predict the heating demand as well as the indoor temperature of a residential building, located in Quebec, Canada. Results show that TRNSYS-CONTAM model has higher accuracy than TRNSYS model no matter in terms of interior air temperature or heating demand prediction, while the statistical model shows better interior air temperature prediction result than physical models.
IOP Conference Serie... arrow_drop_down IOP Conference Series Materials Science and EngineeringArticle . 2019 . Peer-reviewedLicense: CC BYData 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=10.1088/1757-899x/609/7/072022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert IOP Conference Serie... arrow_drop_down IOP Conference Series Materials Science and EngineeringArticle . 2019 . Peer-reviewedLicense: CC BYData 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=10.1088/1757-899x/609/7/072022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG doi: 10.3390/app13095381
As we delve into the era of intelligence, the importance of STEAM (Science, Technology, Engineering, Arts, and Mathematics) education has become increasingly evident [...]
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=10.3390/app13095381&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 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=10.3390/app13095381&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 BrazilPublisher:Institute of Electrical and Electronics Engineers (IEEE) Authors:Silas E. N. Fernandes;
Danillo R. Pereira;Silas E. N. Fernandes
Silas E. N. Fernandes in OpenAIRECaio C. O. Ramos;
Andre N. Souza; +2 AuthorsCaio C. O. Ramos
Caio C. O. Ramos in OpenAIRESilas E. N. Fernandes;
Danillo R. Pereira;Silas E. N. Fernandes
Silas E. N. Fernandes in OpenAIRECaio C. O. Ramos;
Andre N. Souza; Danilo S. Gastaldello;Caio C. O. Ramos
Caio C. O. Ramos in OpenAIREJoao P. Papa;
Joao P. Papa
Joao P. Papa in OpenAIREhandle: 11449/185671
Probabilistic-driven classification techniques extend the role of traditional approaches that output labels (usually integer numbers) only. Such techniques are more fruitful when dealing with problems where one is not interested in recognition/identification only, but also into monitoring the behavior of consumers and/or machines, for instance. Therefore, by means of probability estimates, one can take decisions to work better in a number of scenarios. In this paper, we propose a probabilistic-based optimum-path forest (OPF) classifier to handle the problem of non-technical losses (NTL) detection in power distribution systems. The proposed approach is compared against naive OPF, probabilistic support vector machines, and logistic regression, showing promising results for both NTL identification and in the context of general-purpose applications.
Universidade Estadua... arrow_drop_down Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2019Full-Text: http://dx.doi.org/10.1109/TSG.2018.2821765Data sources: Bielefeld Academic Search Engine (BASE)IEEE Transactions on Smart GridArticle . 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/tsg.2018.2821765&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 18 citations 18 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Universidade Estadua... arrow_drop_down Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2019Full-Text: http://dx.doi.org/10.1109/TSG.2018.2821765Data sources: Bielefeld Academic Search Engine (BASE)IEEE Transactions on Smart GridArticle . 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/tsg.2018.2821765&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2013Publisher:Hindawi Limited Authors:Ya-Juan Hao;
Ya-Juan Hao
Ya-Juan Hao in OpenAIREH. M. Srivastava;
H. M. Srivastava
H. M. Srivastava in OpenAIREHossein Jafari;
Hossein Jafari
Hossein Jafari in OpenAIREXiao-Jun Yang;
Xiao-Jun Yang
Xiao-Jun Yang in OpenAIREdoi: 10.1155/2013/754248
The main object of this paper is to investigate the Helmholtz and diffusion equations on the Cantor sets involving local fractional derivative operators. The Cantor-type cylindrical-coordinate method is applied to handle the corresponding local fractional differential equations. Two illustrative examples for the Helmholtz and diffusion equations on the Cantor sets are shown by making use of the Cantorian and Cantor-type cylindrical coordinates.
Advances in Mathemat... arrow_drop_down Advances in Mathematical PhysicsArticle . 2013 . Peer-reviewedLicense: CC BYData 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=10.1155/2013/754248&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 40 citations 40 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Advances in Mathemat... arrow_drop_down Advances in Mathematical PhysicsArticle . 2013 . Peer-reviewedLicense: CC BYData 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=10.1155/2013/754248&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:The Electrochemical Society Kevin L. Gering; Chongheng Shen; Chongheng Shen; J. R. Dahn; L. D. Ellis; Deijun Xiong; Ling Huang;doi: 10.1149/2.1711713jes
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=10.1149/2.1711713jes&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 21 citations 21 popularity Top 10% influence Average impulse Top 10% 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=10.1149/2.1711713jes&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2020Publisher:Elsevier BV The use CFD-DEM for the simulation of dense gas–solid flows comes with limitations based on the numerical cell size depending on the diameter of the particles. With the introduction of a multi-grid approach, i.e., the calculation of the fluid phase and the solid phase are done with two separate meshes, a finer and a coarser one, this limitation can be overcome. In this work, a three-level grid approach is proposed, in which an additional numerical grid is used to transform parameters used for the solid-fluid momentum exchange from the Lagrangian to the Eulerian grid. The resolution of this newly introduced grid lies in between the resolution of the two other meshes. A conventional single- and dual-grid, as well as the newly introduced three-level grid approach were validated with experimental data in literature and afterwards compared in terms of accuracy and simulation speed. A multi-grid approach, dual- or three-level, shows a higher accuracy than the single-grid method. An additional third grid achieves in almost all cases slightly better results than the dual-grid method while the increase in simulation time is negligible. A coarsening of the solid grid has a higher effect on accuracy than the refinement of the fluid grid. Furthermore, the coarse grain method was implemented to increase simulation speed. Still, the three-level grid approach requires a deeper understanding in the resolution of the numerical grid as there are more degrees of freedom for the cell sizes, but an adequate choice of the numerical grid can drastically improve the simulation accuracy and speed in combination with a coarse grain method.
Chemical Engineering... arrow_drop_down Chemical Engineering Journal AdvancesArticle . 2020 . Peer-reviewedLicense: CC BY NC NDData 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=10.1016/j.ceja.2020.100048&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Chemical Engineering... arrow_drop_down Chemical Engineering Journal AdvancesArticle . 2020 . Peer-reviewedLicense: CC BY NC NDData 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=10.1016/j.ceja.2020.100048&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 United KingdomPublisher:Elsevier BV Authors: Thomas Glen;Ahmed A. Elamer;
Ahmed A. Elamer; Craig McLaughlin; +3 AuthorsAhmed A. Elamer
Ahmed A. Elamer in OpenAIREThomas Glen;Ahmed A. Elamer;
Ahmed A. Elamer; Craig McLaughlin; Hazem Rasheed Gaber;Ahmed A. Elamer
Ahmed A. Elamer in OpenAIREAws AlHares;
Aws AlHares;Aws AlHares
Aws AlHares in OpenAIREThis article seeks to examine accountants' perceptions of carbon taxes in addressing climate change. Specifically, it aims at (i) a better understanding of accountants opinions on carbon taxes; (ii) how energy companies have adapted their business operations since introducing carbon tax. The article's primary sources of data are (1) a 2018 survey distributed to 45 accounting professionals in Scotland, which specialise in energy finance and a formal interview with a regional finance director of a multinational energy company. The results show how the accountants are in favour the carbon tax due to its positive environmental impact, however, do not agree with the associated rising utility costs. Though, carbon tax, from an energy business' perspective, is viewed negatively due to its effects on the end users of energy. This study contributes to the current research by demonstrating the role of accounting society in boosting public awareness of climate change. The findings of this study will help regulators and policy makers in the UK to evaluate the adequacy of current carbon tax reforms and to promote the public awareness of climate change to reduce carbon emissions.
CORE arrow_drop_down StrathprintsArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)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.enpol.2019.05.008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 31 citations 31 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 6visibility views 6 download downloads 189 Powered bymore_vert CORE arrow_drop_down StrathprintsArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)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.enpol.2019.05.008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu