Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network

Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units. Thus, it is imperative to present new incentive methods to motivate such power system operations for electricity management. This...

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Detalles Bibliográficos
Autores principales: Sun, Lichao, Qin, Hang, Przystupa, Krzysztof, Majka, Michal, Kochan, Orest
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609862/
https://www.ncbi.nlm.nih.gov/pubmed/36298250
http://dx.doi.org/10.3390/s22207900

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609862/
https://www.ncbi.nlm.nih.gov/pubmed/36298250
http://dx.doi.org/10.3390/s22207900

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