摘要
提出将小波分析和遗传程序设计算法相结合用于电力系统的短期负荷预测。具体过程是先对负荷序列进行小波分解,然后对小波分解后的各尺度负荷序列分别利用遗传程序设计进行分时预测,并通过对各尺度的预测结果进行重构来得到最终预测结果。仿真结果表明,该方法具有较好的预测效果和可行性。
The wavelet transform and the genetic programming are introduced and applied to short-term load forecasting. The load series are decomposed by wavelet transform, and each scale of the load is forecasted by Genetic Programming according to time-sharing. Finally, all the scale load series forecasted are constructed. The simulation result proves that the method of wavelet transform and genetic programming in short-term load forecasting has better effect and is feasible.
出处
《电测与仪表》
北大核心
2010年第A08期10-12,共3页
Electrical Measurement & Instrumentation
关键词
负荷预测
小波变换
遗传程序设计
load forecasting, wavelet transform, genetic programming
