摘要
应用ＢＰ型即误差逆传播型人工神经网络对水火混合电力系统中的负荷及水库独立来水进行短期预报，结果表明该方法是有效可行的，对混合电力系统的最优经济调度具有积极作用．
In this paper,the BP artificial neural network is used to make shor term forecast for the load and the reservoir’s independent income water in hydro thermal hybrid power systems.The computational results show that the method is efficient and practical,and has very positive role in the optimal economical dispatch of hybrid powe rsystems.
出处
《深圳大学学报（理工版）》
EI
CAS
1998年第1期22-26,共5页
Journal of Shenzhen University(Science and Engineering)
关键词
神经网络
电力系统
预报
neural network
power system
forecast
