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...

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Detalles Bibliográficos
Autores principales: Pang, Xinfu, Sun, Wei, Li, Haibo, Wang, Yibao, Luan, Changfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
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

Internet

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

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