摘要
讨论了人工神经网络（Ｋｏｈｏｎｅｎ网络、ＢＰ网络）、模糊专家系统的原理；在分析负荷预报和贵州电网负荷变化特点基础上，提出了一种适用于负荷需求量增长很快的发展中电网的短期负荷预报模型。
The principles of several artificial intelligent methods have been discussed.Bassd on analysing load forecasting and Guizhou power system load variation feature,this paper proposes a short term load forecasting model suitable for a developing power system like Guizhou power system.
出处
《贵州工业大学学报（自然科学版）》
CAS
1999年第4期62-68,78,共8页
Journal of Guizhou University of Technology(Natural Science Edition)
关键词
短期负荷预报
负荷方式
模糊专家系统
电力系统
shrt term load forecasting
Load pattem
load peak
load valley
Kohonen model
BP model
fuzzy expert system
