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A novel MDPSO-SVR hybrid model for feature selection in electricity consumption forecasting
Electricity consumption forecasting has vital importance for the energy planning of a country.
Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting
The novelty of this study mainly comes from the application of MEMD, which enables the multivariate data decomposition to effectively extract inherent information among relevant variables at different time frequency during the deterioration of multivariate over time.
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