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

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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 Authors:	Amer, Hanis Nasuha; Dahlan, Nofri Yenita; Azmi, Azlin Mohd; Latip, Mohd Fuad Abdul; Onn, Mohammad Syazwan; Tumian, Afidalina
Format:	Article; Proceedings Paper
Language:	English
Published:	ELSEVIER 2023
Subjects:	Energy & Fuels
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001131640100047

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