摘要
研究了春节期间燃气负荷的规律,考虑了天气、温度、传统节假日等因素,采用BP网络和径向基神经网络相结合的方法对春节期间燃气负荷进行预测,效果良好。
The regularity of gas load during the Spring Festival is studied. Considering several factors, such as weather, temperature, traditional festivals, the method integrating BP network with radial basis neural network is used to predict the gas load during the Spring Festival. The result is good.
出处
《煤气与热力》
2004年第9期477-480,共4页
Gas & Heat
基金
国家自然科学基金资助项目(50376014)
关键词
燃气负荷预测
春节
BP网络
径向基神经网络
gas load prediction
the Spring Festival
BP network
radial basis neural network
