Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting

Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting

Short-Term Load Forecasting (STLF) is essential for ensuring efficient and reliable power system operations, requiring accurate predictions of electricity demand. Deep Residual Networks (DRNs), with their ability to mitigate gradient vanishing and model complex nonlinear relationships in load data,...

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Bibliographic Details
Main Authors: Junchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, Fazirulhisyam Hashim, Mohd Zainal Abidin Ab Kadir
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
STLF
DRN
activation function
Online Access:https://ieeexplore.ieee.org/document/10980244/
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https://ieeexplore.ieee.org/document/10980244/

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