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Incorporating causality in energy consumption forecasting using deep neural networks

Forecasting energy demand has been a critical process in various decision support systems regarding consumption planning, distribution strategies, and energy policies. Traditionally, forecasting energy consumption or demand methods included trend analyses, regression, and auto-regression. With advan...

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Detalles Bibliográficos
Autores principales:	Sharma, Kshitij, Dwivedi, Yogesh K., Metri, Bhimaraya
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer US 2022
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362444/ https://www.ncbi.nlm.nih.gov/pubmed/35967838 http://dx.doi.org/10.1007/s10479-022-04857-3

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