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Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm
Short-term power load forecasting is essential in ensuring the safe operation of power systems and a prerequisite in building automated power systems. Short-term power load demonstrates substantial volatility because of the effect of various factors, such as temperature and weather conditions. Howev...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575856/ https://www.ncbi.nlm.nih.gov/pubmed/36262153 http://dx.doi.org/10.7717/peerj-cs.1108 |