Machine and deep learning approaches for forecasting electricity price and energy load assessment on real datasets

Machine and deep learning approaches for forecasting electricity price and energy load assessment on real datasets

This article aims to propose short-term forecasting for a combined model of the hourly electricity price and the hourly load. Where both the independent system operators and the market participants must deal with the uncertainty and volatility of the day-ahead electricity price. Therefore, an accura...

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書目詳細資料
Main Authors: Heba-Allah I. El-Azab, R.A. Swief, Noha H. El-Amary, H.K. Temraz
格式: Article
語言:English
出版: Elsevier 2024-04-01
叢編:Ain Shams Engineering Journal
主題:
Short-Term Load Forecasting
Short-Term Price Forecasting
Gated recurrent units
Long Short-Term Memory
Adaptive Neuro-Fuzzy Inference System
Mean Absolute Percentage Error
在線閱讀:http://www.sciencedirect.com/science/article/pii/S2090447923005026

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http://www.sciencedirect.com/science/article/pii/S2090447923005026

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