Short-Term Load Forecasting for Electric Power Systems Using the PSO-SVR and FCM Clustering Techniques

Short-Term Load Forecasting for Electric Power Systems Using the PSO-SVR and FCM Clustering Techniques

This paper presents a new combined method for the short-term load forecasting of electric power systems based on the Fuzzy c-means (FCM) clustering, particle swarm optimization (PSO) and support vector regression (SVR) techniques. The training samples used in this method are of the same data type as...

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Bibliographic Details
Main Authors: Xiaogang Huang, Pan Duan, Tingting Guo, Kaigui Xie
Format: Article
Language:English
Published: MDPI AG 2011-01-01
Series:Energies
Subjects:
load forecasting
short-time load
PSO
Online Access:http://www.mdpi.com/1996-1073/4/1/173/

Internet

http://www.mdpi.com/1996-1073/4/1/173/

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