Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors

Abstract The purpose of this paper is to suggest short-term Seasonal forecasting for hourly electricity demand in the New England Control Area (ISO-NE-CA). Precision improvements are also considered when creating a model. Where the whole database is split into four seasons based on demand patterns....

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Bibliografiset tiedot

Päätekijät:	Heba-Allah Ibrahim El-Azab, R. A. Swief, Noha H. El-Amary, H. K. Temraz
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2025-03-01
Sarja:	Scientific Reports
Aiheet:	Hourly demand forecasting Temperature Electricity price Day-Type Gated recurrent units Long short-term memory
Linkit:	https://doi.org/10.1038/s41598-025-91878-0
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