Transfer learning strategies for solar power forecasting under data scarcity

Accurately forecasting solar plants production is critical for balancing supply and demand and for scheduling distribution networks operation in the context of inclusive smart cities and energy communities. However, the problem becomes more demanding, when there is insufficient amount of data to ade...

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Detalles Bibliográficos
Autores principales: Sarmas, Elissaios, Dimitropoulos, Nikos, Marinakis, Vangelis, Mylona, Zoi, Doukas, Haris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420121/
https://www.ncbi.nlm.nih.gov/pubmed/36030346
http://dx.doi.org/10.1038/s41598-022-18516-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420121/
https://www.ncbi.nlm.nih.gov/pubmed/36030346
http://dx.doi.org/10.1038/s41598-022-18516-x

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