Deep learning-based estimation of PV power plant potential under climate change: a case study of El Akarit, Tunisia

Deep learning-based estimation of PV power plant potential under climate change: a case study of El Akarit, Tunisia

Abstract Background Several climatologists and experts in the renewable energy field agree that GHI and DNI calculation models must be revised because of the increasingly unpredictable and powerful climatic disturbances. The construction of analytical mathematical models for the prediction of these...

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Bibliographic Details
Main Authors: Afef Ben Othman, Ayoub Ouni, Mongi Besbes
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Energy, Sustainability and Society
Subjects:
GHI estimation
Deep learning
PV production prediction
ANN modeling and greenhouse effect
Online Access:http://link.springer.com/article/10.1186/s13705-020-00266-1

Internet

http://link.springer.com/article/10.1186/s13705-020-00266-1

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