摘要
介绍了基于数学模型小波(变换)分析法,能够提取短期负荷时间序列中的任意细节,短期负荷序列经过小波变换后,可以分解为相应的子序列,并对子序列进行时域与频域处理,使用周期自回归模型对子序列进行预测的方法,指出其预测的精确度比传统的要高,是目前很多领域中实现短期负荷预测较好的方法。
We can get details of short-time loading list according to math basic harmonic analysis. After the changing of short-time loading list, we can separate it into sublist. Then deal with the time-area and frequency-area of it. Forecast the sublist and the results of the forecast is more accurate than the tradition. It's a better way to realize short-time forecast in many areas at present.
出处
《山西电力》
2006年第4期4-6,18,共4页
Shanxi Electric Power
关键词
小波变换
短期负荷预测
模型
harmonic transitiont short-time load forecast
PAR model