Smart grid energy scheduling based on improved dynamic programming algorithm and LSTM

The optimal scheduling of energy in a smart grid is crucial to the energy consumption of the entire grid. In fact, for larger grids, intelligent scheduling may result in substantial energy savings. Herein, we introduce an enhanced dynamic programming algorithm (DPA) that utilizes two state variables...

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Detalles Bibliográficos
Autores principales: Huang, Xiaoyu, Lin, Yubin, Ruan, Xiaofei, Li, Jiyu, Cheng, Nuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Agents and Multi-Agent Systems
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403179/
https://www.ncbi.nlm.nih.gov/pubmed/37547402
http://dx.doi.org/10.7717/peerj-cs.1482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403179/
https://www.ncbi.nlm.nih.gov/pubmed/37547402
http://dx.doi.org/10.7717/peerj-cs.1482

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