摘要
本文提出了 ANN在电力系统中期负荷预测中的应用。基于优化理论 ,采用改进型 BP算法 ,该算法学习精度高 ,收敛速度快。通过仿真算例证明了该算法的优点 ,并将训练结果应用到了配网规划的实例中 ,验证了
This article presents the contribution of ANN(Artificial Neural Network) in middle term load forecasting. In order to get the study more precise and more efficiently, the authors optimize training data and improve Back Propagation. This article also confirm the feasibility of ANN in middle aged load forecast from the practical case.
出处
《电力系统及其自动化学报》
CSCD
2003年第2期36-39,共4页
Proceedings of the CSU-EPSA
