摘要
改进了文 [1]中负荷数据序列的Lyapunov指数计算方法 ,提高了Lyapunov指数的计算精度并增强了可靠性。这种建立在非线性混沌改进模型基础上的预测方法不仅对小数据组可靠 ,而且计算量小、相对容易操作。通过对华东某电网实际负荷数据进行的预测显示 ,精度明显优于文 [1]中的方法 ,且具有较强的自适应能力和通用性。
The calculation method of Lyapunov exponent for the load time series in [1] is improved. Furthermore, the calculating precision and reliability are increased. The forecasting method based on non linear chaotic model is not only reliable to small data sets, but also of little account amount and easy to handle. The short term load forecasting of a certain electric network in East China shows that the precision outgoes the method in [1],and the improved method has adaptive ability itself and general use.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2000年第12期80-83,共4页
Proceedings of the CSEE
基金
煤燃烧国家重点实验室开放基金资助项目! (970 8)
