Clustering and dynamic recognition based auto-reservoir neural network: A wait-and-see approach for short-term park power load forecasting

This paper proposes a novel clustering and dynamic recognition–based auto-reservoir neural network (CDbARNN) for short-term load forecasting (STLF) of industrial park microgrids. In CDbARNN, the available load sets are first decomposed into several clusters via K-means clustering. Then, by extractin...

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Detalles Bibliográficos
Autores principales: Liu, Jingyao, Chen, Jiajia, Yan, Guijin, Chen, Wengang, Xu, Bingyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415916/
https://www.ncbi.nlm.nih.gov/pubmed/37575195
http://dx.doi.org/10.1016/j.isci.2023.107456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415916/
https://www.ncbi.nlm.nih.gov/pubmed/37575195
http://dx.doi.org/10.1016/j.isci.2023.107456

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