摘要
分析了燃气负荷运行变化规律 ,研究了负荷模型分类模式 ,采用改进模糊神经网络进行小时燃气负荷预测。
The change of gas load is analyzed, and the means of load model is studied. A forecast method for hourly load of city gas by means of improved fuzzy neural network is proposed. The result shows that the method is feasible, and meets basically the need of dispatch.
出处
《煤气与热力》
2002年第1期16-18,共3页
Gas & Heat
关键词
燃气负荷
预测
模糊神经网络
BP算法
forecast of gas load
improved fuzzy neural network
BP algorithm
