摘要
为提高电力系统短期负荷预测精度,综合模糊逻辑和神经网络的长处构建了基于自适应模糊神经网络的短期负荷预测模型。将该模型和算法应用于地区电网的短期负荷预测,预测效果良好。
In order to improve the precision of electric power system load forecasting, a short-term load forecasting model based on adaptive fuzzy neural network is put foreword. The proposed STLF method is applied in some local power system and forecasting performance is satisfied.
出处
《湖南电力》
2006年第1期23-25,56,共4页
Hunan Electric Power
关键词
电力系统
短期负荷预测
自适应模糊神经网络
electric power system
short-term load forecasting
adaptive fuzzy neural network
