Data driven approach to forecast the next day aggregate production of scattered small rooftop solar photovoltaic systems without meteorological parameters

Data driven approach to forecast the next day aggregate production of scattered small rooftop solar photovoltaic systems without meteorological parameters

Photovoltaic (PV) power has became an attractive research subject, despite the variability and uncertainty of the phenomenon, PV power forecasting is considered as a promising solution for successful PV power integration, and also an important decision making information for both, grid operators and...

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Bibliographic Details
Main Authors: Ayoub Fentis, Mohamed Rafik, Lhoussain Bahatti, Omar Bouattane, Mohammed Mestari
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
PV power forecasting
Renewable energy
Machine learning
Time series forecasting
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722003353

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