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...
| Published in: | ENERGY REPORTS |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Article; Proceedings Paper |
| Language: | English |
| Published: |
ELSEVIER
2023
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001131640100047 |