Solar power prediction based on Artificial Neural Network guided by feature selection for Large-scale Solar Photovoltaic Plant

Solar power prediction based on Artificial Neural Network guided by feature selection for Large-scale Solar Photovoltaic Plant

Malaysia's most plentiful renewable energy (RE) source, solar, only generate power during the day. High penetration of intermittent PV generation, especially from Large-Scale Solar Photovoltaic (LSSPV) plants, may complicate power system planning and operation. Hence, the need to accurately for...

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Bibliographic Details
Published in:Energy Reports
Main Author: Amer H.N.; Dahlan N.Y.; Azmi A.M.; Latip M.F.A.; Onn M.S.; Tumian A.
Format: Article
Language:English
Published: Elsevier Ltd 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173601977&doi=10.1016%2fj.egyr.2023.09.141&partnerID=40&md5=3a3deab2d430dad7f7668a572ca29240

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173601977&doi=10.1016%2fj.egyr.2023.09.141&partnerID=40&md5=3a3deab2d430dad7f7668a572ca29240

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