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,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/118663/ http://psasir.upm.edu.my/id/eprint/118663/1/118663.pdf |