Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting

Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting

Accurate electric power demand forecasting plays a key role in electricity markets and power systems. The electric power demand is usually a non-linear problem due to various unknown reasons, which make it difficult to get accurate prediction by traditional methods. The purpose of this paper is to p...

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Bibliographic Details
Main Authors: Weide Li, Xuan Yang, Hao Li, Lili Su
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Energies
Subjects:
electricity demand forecasting
ensemble empirical mode decomposition (EEMD)
generalized regression neural network (GRNN)
support vector machine (SVM)
Online Access:http://www.mdpi.com/1996-1073/10/1/44

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http://www.mdpi.com/1996-1073/10/1/44

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