A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons

The increasing penetration of renewable energy sources tends to redirect the power systems community’s interest from the traditional power grid model towards the smart grid framework. During this transition, load forecasting for various time horizons constitutes an essential electric utility task in...

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Detalles Bibliográficos
Autores principales: Giamarelos, Nikolaos, Papadimitrakis, Myron, Stogiannos, Marios, Zois, Elias N., Livanos, Nikolaos-Antonios I., Alexandridis, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304500/
https://www.ncbi.nlm.nih.gov/pubmed/37420606
http://dx.doi.org/10.3390/s23125436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304500/
https://www.ncbi.nlm.nih.gov/pubmed/37420606
http://dx.doi.org/10.3390/s23125436

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