城市燃气负荷离群数据的挖掘及分析_燃气资讯_博燃网 关键词 ：城市燃气负荷；数据挖掘；离群数据；k-最近邻距离法 [gap=449]Key words ： city gas load；data mining； stray data； k-nearest neighbor
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daily city gas load 城市燃气日负荷
forecast of city gas load 城市燃气负荷预测
city natural gas load prediction 城市天然气负荷预测
Air temperature is one of the important factors which influence short-term city gas load.
气温是影响城市燃气短期负荷的重要因素之一。
City gas load is a multi-mode and complicated engineering system. This paper analyzes and estimates the gas load of Shenzhen by using method of time series analysis.
城市燃气负荷是一个多工况、复杂的工程系统，本文采用时间序列方法对深圳的燃气负荷进行了分析和预测。
The practical example shows that the forecast model based on once accumulation method has high precision and reliable result, it can be used to forecast the annual city gas load.
实例表明，一次累加法预测模型精度高，预测结果可靠，可用于城市燃气年负荷预测。
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