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.
出处
《华东电力》
北大核心
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)
