燃气需求量预测的实践与研究

Practice and Study of Gas Demand Forecasting

通过对鞍山市燃气总公司近十年的供气调度记录的整理分析,结合输配工作实际情况,采用神经网络(径向基函数)、数理统计(概率分布)和时间序列分析相结合的方法,对燃气需求量进行预测,提出了燃气需求量预测的方法和思路。

Based on nearly a decade of supplying gas Corporation,Anshan city dispatch records analyzed.Combined transmission and distribution situation,using neural networks(RBF),statistics(probability distribution)and time series analysis methods,To forecast the demand for gas.Proposed gas demand forecasting methods and ideas.