电力需求侧管理
電力需求側管理
전력수구측관리
POWER DEMAND SIDE MANAGEMENT
2014年
1期
21-24
,共4页
陈素玲%姚建刚%龚磊
陳素玲%姚建剛%龔磊
진소령%요건강%공뢰
中长期负荷预测%偏最小二乘回归%相似离度%权值
中長期負荷預測%偏最小二乘迴歸%相似離度%權值
중장기부하예측%편최소이승회귀%상사리도%권치
mid-long term load forecast%partial least squares regression%analogue deviation%weight
针对中长期负荷预测,考虑各历史样本在建立适用于预测对象的模型时处于不同的地位,应分配不同的权值,提出一种基于加权偏最小二乘回归(weighted partial least squares regression,WPLSR)的预测方法。利用相似离度计算历史样本与预测对象的相似度,判定样本是否含有异常值,自适应地为历史样本分配权值,进而采用偏最小二乘回归(partial least squares regression,PLSR)提取主成分和回归分析。算例结果表明WPLSR方法的预测精度比普通PLSR模型有显著提高,具有良好的可行性和有效性。
針對中長期負荷預測,攷慮各歷史樣本在建立適用于預測對象的模型時處于不同的地位,應分配不同的權值,提齣一種基于加權偏最小二乘迴歸(weighted partial least squares regression,WPLSR)的預測方法。利用相似離度計算歷史樣本與預測對象的相似度,判定樣本是否含有異常值,自適應地為歷史樣本分配權值,進而採用偏最小二乘迴歸(partial least squares regression,PLSR)提取主成分和迴歸分析。算例結果錶明WPLSR方法的預測精度比普通PLSR模型有顯著提高,具有良好的可行性和有效性。
침대중장기부하예측,고필각역사양본재건립괄용우예측대상적모형시처우불동적지위,응분배불동적권치,제출일충기우가권편최소이승회귀(weighted partial least squares regression,WPLSR)적예측방법。이용상사리도계산역사양본여예측대상적상사도,판정양본시부함유이상치,자괄응지위역사양본분배권치,진이채용편최소이승회귀(partial least squares regression,PLSR)제취주성분화회귀분석。산례결과표명WPLSR방법적예측정도비보통PLSR모형유현저제고,구유량호적가행성화유효성。
Considering that historical load samples each have asymmetrical status and should be assigned to different weightings in the med-long-term load forecasting, this paper pro-poses a weighted partial least squares regression(WPLSR)algo-rithm. The specific modeling procedures are:Analog Deviation be-tween the historical samples and predicting samples is computed;identify abnormal samples; adjust sample weights; partial least squares regression analysis. Experimental results show that the pre-diction accuracy of the weighted partial least squares regression (WPLSR)algorithm is remarkably higher than that of traditional PLSR model. the proposed modeling method is practicable and ef-fective.