The prediction and forecasting of coal and gas outburst is a complicated and knotty problem.
煤与瓦斯突出预测预报是一个十分复杂而棘手的问题。
BPneuralnetworkbased load forecasting model of natural gas is presented, and in this model all the factors that influence the natural gas load change are taken into account.
提出了一种基于BP神经网络的天然气负荷预测模型，模型中考虑了影响负荷变化的各种因素。
Based on historical data of Shaanxi natural gas network system, static and dynamic simulation and load forecasting of natural gas system has been researched in this thesis.
本文依据陕西省天然气管网系统的历史数据，对天然气管网系统稳动态仿真和天然气短期负荷预测进行了研究。
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