Short-term load forecasting system based on sliding fuzzy granulation and equilibrium optimizer

Short-term electricity load forecasting is critical and challenging for scheduling operations and production planning in modern power management systems due to stochastic characteristics of electricity load data. Current forecasting models mainly focus on adapting to various load data to improve the...

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Detalles Bibliográficos
Autores principales: Li, Shoujiang, Wang, Jianzhou, Zhang, Hui, Liang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246551/
https://www.ncbi.nlm.nih.gov/pubmed/37363386
http://dx.doi.org/10.1007/s10489-023-04599-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246551/
https://www.ncbi.nlm.nih.gov/pubmed/37363386
http://dx.doi.org/10.1007/s10489-023-04599-0

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