Medium and Long-Term Load Forecast Based on PSO-LS-SVR

Abstract:

Support Vector Regression(SVR) has been successfully applied for medium and long-term load forecasting with many researches．However, the prediction performance relies heavily on the regularity of the set of training samples. Particle swarm optimization (PSO) is used in this paper to refine the weighted coefficient for the Least Square SVM in order to improve the computational efficiency and precision. The comparative analysis with empirical data of a province prove the intended advantages of the proposed method.

• Periodical: Advanced Materials Research (Volumes 614-615)
• Pages: 1962-1965
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.614-615.1962
• Online since: December 2012
• Authors: Xue Tao Pan*, Feng Qian, Xi Jin
• Keywords: Load Forecast, LS-SVR, Particle Swarm Optimization (PSO)

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