电力系统保护与控制2011，Vol.39Issue(9)：88-90,96,4.
基于谱分析与LS-SVM的中期电力负荷预测
Medium-term electric-power load forecasting based on spectrum analysis and LS-SVM
摘要
Abstract
For the shortcoming of the SVM using in short series of power load forecasting, namely the choice of space divided parameters is influenced by subjective factors, a novel method of power load forecasting combining the spectrum analysis with LS-SVM method is presented.This method adopts the spectrum analysis to forcast the cycle of actual maximum power load and determines the training mode of SVM based on the cycle.The subjective factors in preferences are effectively avoided, and the prediction accuracy is improved.The practical example shows that except the last point in which the relative error is 8.67％, the relative errors of other points are less than ± 5％.Our method provides a better fit to the predicted data and shows high accuracy.关键词
电力系统/谱分析/最小二乘支持向量机/中期负荷预测/精度Key words
power system/ spectrum analysis/ LS-SVM/ medium-term power load forecast/ precision分类
信息技术与安全科学引用本文复制引用
李钊年,陶凤玲,史旺旺,姜楠,李积花,倪三川..基于谱分析与LS-SVM的中期电力负荷预测[J].电力系统保护与控制,2011,39(9):88-90,96,4.基金项目
江苏高校省级重点实验室开放研究课题(K08016) （K08016）
