摘要
提出了一种基于优化灰色模型的农村季节性电力负荷预测方法。首先对原始的时间序列数据进行移动平均处理,然后分别建立多个灰色GM(1,1)模型并进行优化组合。实例研究结果表明,该方法具有较高的预测精度。
An approach of rural seasonal power load forecasting based on optimal grey model was presented. The original time series data were processed by moving average method, then several grey GM（ 1, 1 ） models were constructed respectively and combined with optimization. The results of case study showed that the proposed approach has higher forecasting precision.
出处
《安徽农业科学》
CAS
北大核心
2010年第3期1448-1449,共2页
Journal of Anhui Agricultural Sciences
基金
四川省应用基础研究基金项目(07J13-071)
关键词
季节性电力负荷
预测
灰色模型
移动平均法
组合预测
Seasonal power load
Forecasting
Grey model
Moving average method
Combined forecasting
