A Novel Hybrid Feature Selection Method for Day-Ahead Electricity Price Forecasting

A Novel Hybrid Feature Selection Method for Day-Ahead Electricity Price Forecasting

The paper proposes a novel hybrid feature selection (FS) method for day-ahead electricity price forecasting. The work presents a novel hybrid FS algorithm for obtaining optimal feature set to gain optimal forecast accuracy. The performance of the proposed forecaster is compared with forecasters base...

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Bibliographic Details
Main Authors: Ankit Kumar Srivastava, Ajay Shekhar Pandey, Rajvikram Madurai Elavarasan, Umashankar Subramaniam, Saad Mekhilef, Lucian Mihet-Popa
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Energies
Subjects:
price forecasting
feature selection
elitist genetic algorithm
SMO regression
confidence interval
Online Access:https://www.mdpi.com/1996-1073/14/24/8455

Internet

https://www.mdpi.com/1996-1073/14/24/8455

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