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Vector Autoregression Model Application on Forecasting China Energy Demand Up To Year 2020

机译:矢量自动增加模型在2020年预测中国能源需求上的应用

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With the fast economic development, energy demand is increasing year after year. In the future, how to forecast the energy demand scientifically has the important meaning to the assurance of economic sustainable development and the setting up of well-off and harmonious society. The VAR model sets up the model based on the data statistic character and as each endogenous variable is the function of lag value of all endogenous variables. It is one of the models that are easily handled to the analysis and forecast dealing with several correlate economic indexes. It is used to forecast the correlate time series system. The energy demand is composed by the wastage of oil, coal and natural gas, they have the near relation. So, this text applies the VAR model to forecast the wastage of oil, coal, natural gas and total energy demand in the future, it can provide the instruction for the energy development stratagem.
机译:随着经济的快速发展,能源需求年又一年增加。在未来,如何预测能源需求科学上具有保证经济可持续发展的重要意义和大康和谐社会的建立。 VAR模型根据数据统计字符设置模型,并且随着每个内源变量是所有内源变量的滞后值的函数。它是易于处理若干相关经济指标的分析和预测的模型之一。它用于预测相关时间序列系统。能源需求由石油,煤炭和天然气的浪费组成,它们具有近乎关系。因此,本文采用VAR模型预测未来石油,煤炭,天然气和总能源需求的浪费,可以为能源发展策略提供指导。

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