An Insight of Deep Learning Based Demand Forecasting in Smart Grids

Smart grids are able to forecast customers’ consumption patterns, i.e., their energy demand, and consequently electricity can be transmitted after taking into account the expected demand. To face today’s demand forecasting challenges, where the data generated by smart grids is huge, modern data-driv...

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Detalles Bibliográficos
Autores principales: Aguiar-Pérez, Javier Manuel, Pérez-Juárez, María Ángeles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921606/
https://www.ncbi.nlm.nih.gov/pubmed/36772509
http://dx.doi.org/10.3390/s23031467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921606/
https://www.ncbi.nlm.nih.gov/pubmed/36772509
http://dx.doi.org/10.3390/s23031467

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