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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |