短期负荷预测方法在浙江省电力市场的应用  

Application of short-term load forecasting in Zhejiang power market

作　　者：张永吉[1] 李均利[2] 陈刚[1] 

机构地区：[1]浙江大学数学系,浙江杭州310027 [2]宁波大学信息科学与工程学院,浙江宁波315211

出　　处：《华东电力》2003年第10期12-15,共4页East China Electric Power

基　　金：宁波市重点博士基金 (2 0 0 3 A610 0 6)

摘　　要：用已知的电力系统的历史数据、自然因素和系统的运行特性介绍了电力系统短期负荷预测的神经网络、时间序列和小波时间序列结合的方法 ,并利用浙江省电力市场的数据对 3种模型进行了实验和效果评估。The combined method of 3 models of the neural network,time series and wavelet time series for short-term power load prediction in power system using known history data of the power system,natural factors and operating performance of the system was introduced and the three models were tested with the data of Zhejiang provincial power market and the results were evaluated.

关 键 词：电力系统 负荷预测 短期负荷预测方法 回归分析法 神经网络 电力市场 浙江 

分 类 号：TM715[电气工程—电力系统及自动化] F426.61[经济管理—产业经济]