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Energy Research
2025-2025
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Energy Research

Predicting Solar PV Output based on Hybrid Deep Learning and Physical Models: Case Study of Morocco
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Bentham Science Publishers Ltd.
Authors: Samira Abousaid; Loubna Benabbou; Hanane Dagdougui; Ismail Belhaj; +2 Authors
Samira Abousaid; Loubna Benabbou; Hanane Dagdougui; Ismail Belhaj; Hicham Bouzekri; Abdelaziz Berrado;
doi: 10.2174/0123520965264083230926105355
doi: 10.2174/0123520965264083230926105355
Background: In recent years, the integration of renewable energy sources into the grid has increased exponentially. However, one significant challenge in integrating these renewable sources into the grid is intermittency. Objective: To address this challenge, accurate PV power forecasting techniques are crucial for operations and maintenance and day-to-day operations monitoring in solar plants. Methods: In the present work, a hybrid approach that combines Deep Learning (DL) and Numerical Weather Prediction (NWP) with electrical models for PV power forecasting is proposed Results: The outcomes of the study involve evaluating the performance of the proposed model in comparison to a Physical model and a DL model for predicting solar PV power one day ahead and two days ahead. The results indicate that the prediction accuracy of PV power decreases and the error rates increase when forecasting two days ahead, as compared to one day ahead. Conclusion: The obtained results demonstrate that DL models combined with NWP and electrical models can improve PV Power forecasting compared to a Physical model and a DL model.
Recent Advances in E...arrow_drop_down
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)
Article . 2025 . Peer-reviewed
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Computationally effective machine learning approach for modular thermal energy storage design
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: Davinder Singh; Tanguy Rugamba; Harsh Katara; Kuljeet Singh Grewal;
doi: 10.1016/j.apenergy.2024.124430
doi: 10.1016/j.apenergy.2024.124430
Applied Energyarrow_drop_down
Applied Energy
Article . 2025 . Peer-reviewed
License: CC BY NC
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Applied Energy
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Innovative electromagnetic vibration energy harvester with free-rotating mass for passive resonant frequency tuning
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: David Alexander Ells; Christopher Mechefske; Yongjun Lai;
doi: 10.1016/j.apenergy.2024.124622
doi: 10.1016/j.apenergy.2024.124622
Applied Energyarrow_drop_down
Applied Energy
Article . 2025 . Peer-reviewed
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Applied Energy
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Reducing CO2 emissions, energy consumption, and decarbonization costs in manganese production by integrating fuel-assisted solid oxide electrolysis cells in two-stage oxide reduction
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC, RCN | Centre for an Energy Effi...
NSERC ,
RCN| Centre for an Energy Efficient and Competitive Industry for the Future (HighEFF)
Authors: Anders S. Nielsen; Gonzalo del Alamo Serrano; Trygve L. Schanche; Odne S. Burheim;
doi: 10.1016/j.apenergy.2024.124572
doi: 10.1016/j.apenergy.2024.124572
Applied Energyarrow_drop_down
Applied Energy
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Applied Energy
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Unveiling China's household CO2 emissions with disaggregated energy sectors: An affinity-propagation multi-regional input-output model
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: P.P. Wang; G.H. Huang; Y.P. Li; B. Luo; +1 Authors
P.P. Wang; G.H. Huang; Y.P. Li; B. Luo; Y.F. Li;
doi: 10.1016/j.renene.2024.121929
doi: 10.1016/j.renene.2024.121929
Renewable Energyarrow_drop_down
Renewable Energy
Article . 2025 . Peer-reviewed
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A comprehensive review of biobased polyurethane and phenol formaldehyde hydrophilic foams for environmental remediation, floral, and hydroponics applications
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: Glen Cletus DSouza; Fatemeh Dodangeh; Gayathri Balaji Venkata; Madhumita B. Ray; +2 Authors
Glen Cletus DSouza; Fatemeh Dodangeh; Gayathri Balaji Venkata; Madhumita B. Ray; Anand Prakash; Chunbao Xu;
doi: 10.1016/j.biombioe.2024.107493
doi: 10.1016/j.biombioe.2024.107493
Biomass and Bioenerg...arrow_drop_down
Biomass and Bioenergy
Article . 2025 . Peer-reviewed
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Strategic analysis of hydrogen market dynamics across collaboration models
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: Mohammad Asghari; Hamid Afshari; Mohamad Y. Jaber; Cory Searcy;
doi: 10.1016/j.rser.2024.115001
doi: 10.1016/j.rser.2024.115001
Renewable and Sustai...arrow_drop_down
Renewable and Sustainable Energy Reviews
Article . 2025 . Peer-reviewed
License: CC BY NC
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

7 Research products

download

Predicting Solar PV Output based on Hybrid Deep Learning and Physical Models: Case Study of Morocco
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Bentham Science Publishers Ltd.
Authors: Samira Abousaid; Loubna Benabbou; Hanane Dagdougui; Ismail Belhaj; +2 Authors
Samira Abousaid; Loubna Benabbou; Hanane Dagdougui; Ismail Belhaj; Hicham Bouzekri; Abdelaziz Berrado;
doi: 10.2174/0123520965264083230926105355
doi: 10.2174/0123520965264083230926105355
Background: In recent years, the integration of renewable energy sources into the grid has increased exponentially. However, one significant challenge in integrating these renewable sources into the grid is intermittency. Objective: To address this challenge, accurate PV power forecasting techniques are crucial for operations and maintenance and day-to-day operations monitoring in solar plants. Methods: In the present work, a hybrid approach that combines Deep Learning (DL) and Numerical Weather Prediction (NWP) with electrical models for PV power forecasting is proposed Results: The outcomes of the study involve evaluating the performance of the proposed model in comparison to a Physical model and a DL model for predicting solar PV power one day ahead and two days ahead. The results indicate that the prediction accuracy of PV power decreases and the error rates increase when forecasting two days ahead, as compared to one day ahead. Conclusion: The obtained results demonstrate that DL models combined with NWP and electrical models can improve PV Power forecasting compared to a Physical model and a DL model.
Recent Advances in E...arrow_drop_down
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)
Article . 2025 . Peer-reviewed
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Computationally effective machine learning approach for modular thermal energy storage design
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: Davinder Singh; Tanguy Rugamba; Harsh Katara; Kuljeet Singh Grewal;
doi: 10.1016/j.apenergy.2024.124430
doi: 10.1016/j.apenergy.2024.124430
Applied Energyarrow_drop_down
Applied Energy
Article . 2025 . Peer-reviewed
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Innovative electromagnetic vibration energy harvester with free-rotating mass for passive resonant frequency tuning
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: David Alexander Ells; Christopher Mechefske; Yongjun Lai;
doi: 10.1016/j.apenergy.2024.124622
doi: 10.1016/j.apenergy.2024.124622
Applied Energyarrow_drop_down
Applied Energy
Article . 2025 . Peer-reviewed
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Reducing CO2 emissions, energy consumption, and decarbonization costs in manganese production by integrating fuel-assisted solid oxide electrolysis cells in two-stage oxide reduction
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC, RCN | Centre for an Energy Effi...
NSERC ,
RCN| Centre for an Energy Efficient and Competitive Industry for the Future (HighEFF)
Authors: Anders S. Nielsen; Gonzalo del Alamo Serrano; Trygve L. Schanche; Odne S. Burheim;
doi: 10.1016/j.apenergy.2024.124572
doi: 10.1016/j.apenergy.2024.124572
Applied Energyarrow_drop_down
Applied Energy
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Unveiling China's household CO2 emissions with disaggregated energy sectors: An affinity-propagation multi-regional input-output model
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: P.P. Wang; G.H. Huang; Y.P. Li; B. Luo; +1 Authors
P.P. Wang; G.H. Huang; Y.P. Li; B. Luo; Y.F. Li;
doi: 10.1016/j.renene.2024.121929
doi: 10.1016/j.renene.2024.121929
Renewable Energyarrow_drop_down
Renewable Energy
Article . 2025 . Peer-reviewed
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A comprehensive review of biobased polyurethane and phenol formaldehyde hydrophilic foams for environmental remediation, floral, and hydroponics applications
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: Glen Cletus DSouza; Fatemeh Dodangeh; Gayathri Balaji Venkata; Madhumita B. Ray; +2 Authors
Glen Cletus DSouza; Fatemeh Dodangeh; Gayathri Balaji Venkata; Madhumita B. Ray; Anand Prakash; Chunbao Xu;
doi: 10.1016/j.biombioe.2024.107493
doi: 10.1016/j.biombioe.2024.107493
Biomass and Bioenerg...arrow_drop_down
Biomass and Bioenergy
Article . 2025 . Peer-reviewed
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Strategic analysis of hydrogen market dynamics across collaboration models
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BVFunded by:NSERC
NSERC
Authors: Mohammad Asghari; Hamid Afshari; Mohamad Y. Jaber; Cory Searcy;
doi: 10.1016/j.rser.2024.115001
doi: 10.1016/j.rser.2024.115001
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Renewable and Sustainable Energy Reviews
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Predicting Solar PV Output based on Hybrid Deep Learning and Physical Models: Case Study of Morocco

Computationally effective machine learning approach for modular thermal energy storage design

Innovative electromagnetic vibration energy harvester with free-rotating mass for passive resonant frequency tuning

Reducing CO2 emissions, energy consumption, and decarbonization costs in manganese production by integrating fuel-assisted solid oxide electrolysis cells in two-stage oxide reduction

Unveiling China's household CO2 emissions with disaggregated energy sectors: An affinity-propagation multi-regional input-output model

A comprehensive review of biobased polyurethane and phenol formaldehyde hydrophilic foams for environmental remediation, floral, and hydroponics applications

Strategic analysis of hydrogen market dynamics across collaboration models

Predicting Solar PV Output based on Hybrid Deep Learning and Physical Models: Case Study of Morocco

Computationally effective machine learning approach for modular thermal energy storage design

Innovative electromagnetic vibration energy harvester with free-rotating mass for passive resonant frequency tuning

Reducing CO2 emissions, energy consumption, and decarbonization costs in manganese production by integrating fuel-assisted solid oxide electrolysis cells in two-stage oxide reduction

Unveiling China's household CO2 emissions with disaggregated energy sectors: An affinity-propagation multi-regional input-output model

A comprehensive review of biobased polyurethane and phenol formaldehyde hydrophilic foams for environmental remediation, floral, and hydroponics applications

Strategic analysis of hydrogen market dynamics across collaboration models

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