An improved teaching-learning-based optimization for extreme learning machine in floating photovoltaic power forecasting

Floating photovoltaic systems provide better land use and higher energy output through water cooling effects, but accurate power forecasting remains challenging due to complex environmental factors and measurement errors. This study presents an improved teaching-learning-based optimization algorithm...

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Bibliographic Details

Main Authors:	Mohd Redzuan, Ahmad, Nor Farizan, Zakaria, Mohd Shawal, Jadin, Mohd Herwan, Sulaiman
Format:	Article
Language:	en
Published:	Oxford University Press 2025
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://umpir.ump.edu.my/id/eprint/45478/1/An%20improved%20teaching-learning-based%20optimization%20for%20extreme%20learning%20machine%20in%20floating%20photovoltaic%20power%20forecasting.pdf https://doi.org/10.1093/ce/zkaf042 https://umpir.ump.edu.my/id/eprint/45478/
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