Optimizing deep residual networks for short-term load forecasting with multidimensional weather data and principal component analysis

Short-term load forecasting (STLF) is essential for power system operations, supporting efficient grid management and resource planning. Deep Residual Networks (DRNs) have emerged as a promising architecture for STLF, offering a balanced solution by combining training stability, deep feature extract...

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Bibliographic Details

Main Authors:	Liu, Junchen, Ahmad, Faisul Arif, Samsudin, Khairulmizam, Hashim, Fazirulhisyam, Ab Kadir, Mohd Zainal Abidin
Format:	Article
Language:	en
Published:	Institute of Electrical and Electronics Engineers 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/121513/1/121513.pdf http://psasir.upm.edu.my/id/eprint/121513/ https://ieeexplore.ieee.org/document/11153638/
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