电子世界
電子世界
전자세계
ELECTRONICS WORLD
2014年
7期
45-45,46
,共2页
裴胜玉%童浪%何朝有
裴勝玉%童浪%何朝有
배성옥%동랑%하조유
电力负荷%OpenCV%支持向量机
電力負荷%OpenCV%支持嚮量機
전력부하%OpenCV%지지향량궤
Power Load%OpenCV%Support Vector Machine(SVM)
针对电力负荷预测影响因素多,传统预测方法精度不高,本文分析电力负荷预测影响因素,建立基于支持向量机的电力负荷预测模型。通过OpenCV实验,仿真结果表明本文对电力负荷预测具有较高的预测精度和较快的训练速度。
針對電力負荷預測影響因素多,傳統預測方法精度不高,本文分析電力負荷預測影響因素,建立基于支持嚮量機的電力負荷預測模型。通過OpenCV實驗,倣真結果錶明本文對電力負荷預測具有較高的預測精度和較快的訓練速度。
침대전력부하예측영향인소다,전통예측방법정도불고,본문분석전력부하예측영향인소,건립기우지지향량궤적전력부하예측모형。통과OpenCV실험,방진결과표명본문대전력부하예측구유교고적예측정도화교쾌적훈련속도。
According to many inlfuencing factors of power load forecasting,traditional prediction accuracy cannot realize high,this paper analysis the inlfuence factors of power load forecasting.A prediction model of power load based on support vector machine(SVM)was established.The simulation results on OpenCV show that the higher accuracy and faster training speed of electric power load forecasting.