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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Nature Research
2026
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| Subjects: | |
| 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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