Electrical load and solar power forecasting using machine learning techniques
Abstract In contemporary power networks, short-term load forecasting (STLF) is essential for efficiently managing reserve requirements. During the power-balancing operation, it then helps the grid operator make wise and cost-effective decisions. This paper thoroughly examines STLF techniques includi...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2025-07-01
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| coleção: | Journal of King Saud University: Engineering Sciences |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44444-025-00012-y |
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