A novel Parametric Scaled Exponential Linear Unit activation function for Deep Residual Networks in Short-Term Load Forecasting

A novel Parametric Scaled Exponential Linear Unit activation function for Deep Residual Networks in Short-Term Load Forecasting

Short-Term Load Forecasting (STLF) is essential for ensuring the stability and operational efficiency of modern power systems. Deep Residual Networks (DRNs) have recently demonstrated promising performance in this domain, enabling more effective training of deeper architectures. However, existing ac...

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Bibliographic Details
Main Authors: Liu, Junchen, Ahmad, Faisul Arif, Samsudin, Khairulmizam, Hashim, Fazirulhisyam, Abidin Ab Kadir, Mohd Zainal
Format: Article
Language:en
Published: Nature Research 2026
Subjects:
Multidisciplinary
Online Access:http://psasir.upm.edu.my/id/eprint/123100/1/123100.pdf
http://psasir.upm.edu.my/id/eprint/123100/
https://www.nature.com/articles/s41598-025-32564-z?error=cookies_not_supported&code=f330921c-09bf-4cc7-8603-6ab415846cdc
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http://psasir.upm.edu.my/id/eprint/123100/1/123100.pdf
http://psasir.upm.edu.my/id/eprint/123100/
https://www.nature.com/articles/s41598-025-32564-z?error=cookies_not_supported&code=f330921c-09bf-4cc7-8603-6ab415846cdc

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