Optimization-driven extreme learning machine for floating photovoltaic power prediction: A teaching learning-based approach

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Optimization-driven extreme learning machine for floating photovoltaic power prediction: A teaching learning-based approach

Accurate power prediction for floating photovoltaic (FPV) systems is essential for reliable grid integration, yet existing forecasting methods suffer from suboptimal parameter configuration, excessive computational demands, and poor performance under dynamic conditions. This study presents a novel T...

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Bibliographic Details
Main Authors:	Mohd Redzuan, Ahmad, Nor Farizan, Zakaria, Mohd Shawal, Jadin, Mohd Herwan, Sulaiman
Format:	Article
Language:	English
Published:	Institute of Physics 2025
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://umpir.ump.edu.my/id/eprint/45379/

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