Comparative analysis of machine learning models for forecasting hydroelectric generation using socioeconomic indicators

Hydropower plays a significant role in Malaysia’s renewable energy mix, particularly in regions with abundant water resources such as Sarawak. Accurate forecasting of hydroelectric generation is increasingly important to support effective energy planning and the country’s sustainability objectives....

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Bibliographic Details

Main Authors:	Nor Azman, Aliaa Aqilah, Abdul Aziz, Mohd Azri, Abd Razak, Noorfadzli, Md Kamal, Mahanijah
Format:	Article
Language:	en
Published:	UiTM Press 2025
Subjects:	Neural networks (Computer science) TC Hydraulic engineering. Ocean engineering
Online Access:	https://ir.uitm.edu.my/id/eprint/126255/1/126255.pdf https://ir.uitm.edu.my/id/eprint/126255/ https://jeesr.uitm.edu.my
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