基于小波神经网络的电网负荷预测

Load Forecasting of Power Network Based on Wavelet Neural Network

为提高负荷预测的精度及反映天气因素对负荷的影响,选用小波理论中的Mallat算法进行多尺度分析。应用新疆塔北电网近年的负荷数据和气象资料进行了预测,预测结果表明其具有较好的性能。

To improve the precision of load forecasting and reflect the influence of climate factors on load better, the Mallat algorithm to carry on the Multi-Resolution Analysis （MRA）. The load data and climatic information of Xinjian power network in recent years are applied in the load forecasting. The forecasting results show that the forecasting precision can be improved by choosing training samples.