Improved Giza pyramids construction algorithm for Modify the deep neural network-based method for energy demand forecasting

Accurate prediction of energy demand is crucial for improving services, reducing costs, and optimizing operations in energy systems. Deep neural networks (DNNs) have emerged as a popular method for energy demand forecasting. However, the performance of DNNs can be affected by data quality and hyperp...

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Detalles Bibliográficos
Autores principales: Wang, Xue, Razmjooy, Saeid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570594/
https://www.ncbi.nlm.nih.gov/pubmed/37842610
http://dx.doi.org/10.1016/j.heliyon.2023.e20527

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570594/
https://www.ncbi.nlm.nih.gov/pubmed/37842610
http://dx.doi.org/10.1016/j.heliyon.2023.e20527

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