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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Hauptverfasser:	Srivastava, Ankit Kumar, Pandey, Ajay Shekhar, Elavarasan, Rajvikram Madurai, Subramaniam, Umashankar, Mekhilef, Saad, Mihet-Popa, Lucian
Format:	Artikel
Sprache:	eng
Schlagworte:	confidence interval elitist genetic algorithm feature selection price forecasting SMO regression
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