电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2009年
14期
41-45
,共5页
小波变换%电力系统%短期负荷预测%支持向量机
小波變換%電力繫統%短期負荷預測%支持嚮量機
소파변환%전력계통%단기부하예측%지지향량궤
wavelet transform%electric power systems%short-term load forecasting%support vector machine
提出一种改进的基于离散小波变换和支持向量机的短期负荷预测方法.运用离散小波变换将负荷时间序列分解为高低频子序列,采用目前较为成熟的支持向量机方法,选择适当的参数对每个序列进行滚动式的单支预测,最后将各分支预测结果相加最终实现负荷预测.实例中负荷数据采用四川省某地区的历史负荷,对该地区的日96点负荷进行全年预测,并将该算法与支持向量机算法进行比较,结果表明,该算法具有较高预测精确性.
提齣一種改進的基于離散小波變換和支持嚮量機的短期負荷預測方法.運用離散小波變換將負荷時間序列分解為高低頻子序列,採用目前較為成熟的支持嚮量機方法,選擇適噹的參數對每箇序列進行滾動式的單支預測,最後將各分支預測結果相加最終實現負荷預測.實例中負荷數據採用四川省某地區的歷史負荷,對該地區的日96點負荷進行全年預測,併將該算法與支持嚮量機算法進行比較,結果錶明,該算法具有較高預測精確性.
제출일충개진적기우리산소파변환화지지향량궤적단기부하예측방법.운용리산소파변환장부하시간서렬분해위고저빈자서렬,채용목전교위성숙적지지향량궤방법,선택괄당적삼수대매개서렬진행곤동식적단지예측,최후장각분지예측결과상가최종실현부하예측.실례중부하수거채용사천성모지구적역사부하,대해지구적일96점부하진행전년예측,병장해산법여지지향량궤산법진행비교,결과표명,해산법구유교고예측정학성.
This paper presents an improved technique in short-term load forecasting based on discrete wavelet transform (DWT) and support vector machines (SVM). The DWT splits up load time series into low and high frequency components which are to be the features for the SVMs. The SVMs which is improved forecast each components by adopting the appropriate parameters, at the end, all forecasted components are summed up to produce a final forecasted load. The data from an area in Sichuan province is used to verify ninety-six points load forecasting,the performance of algorithm is compared with that of the SVM without DWT,the experimental results show that the proposed algorithm can improve the calculation accuracy.
