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

Internet

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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