Short-Term Electricity Price Forecasting by Employing Ensemble Empirical Mode Decomposition and Extreme Learning Machine

Short-Term Electricity Price Forecasting by Employing Ensemble Empirical Mode Decomposition and Extreme Learning Machine

Day-ahead electricity price forecasting plays a critical role in balancing energy consumption and generation, optimizing the decisions of electricity market participants, formulating energy trading strategies, and dispatching independent system operators. Despite the fact that much research on price...

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Bibliographic Details
Main Authors: Sajjad Khan, Shahzad Aslam, Iqra Mustafa, Sheraz Aslam
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Forecasting
Subjects:
price forecasting
ensemble empirical mode decomposition
extreme learning machine
hybrid forecasting
smart grids
Online Access:https://www.mdpi.com/2571-9394/3/3/28

Internet

https://www.mdpi.com/2571-9394/3/3/28

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