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

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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Bibliographic Details
Main Authors: Heba-Allah Ibrahim El-Azab, R. A. Swief, Noha H. El-Amary, H. K. Temraz
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Hourly demand forecasting
Temperature
Electricity price
Day-Type
Gated recurrent units
Long short-term memory
Online Access:https://doi.org/10.1038/s41598-025-91878-0
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https://doi.org/10.1038/s41598-025-91878-0

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