In order to improve prediction accuracy of the grey prediction model and forecast China energy consumption and production in a short term, this paper proposes a novel com- prehensively optimized GM（1,1） model, also ...In order to improve prediction accuracy of the grey prediction model and forecast China energy consumption and production in a short term, this paper proposes a novel com- prehensively optimized GM（1,1） model, also named COGM（1,1）, based on the grey modeling mechanism. First, the relationship of the background value formula and its whitenization equation is analyzed and a new method optimizing background values is proposed to eliminate systemic errors in the modeling process. Second, the solving process of the new model is derived. For parameter estimation, a set of auxiliary parameters are used to change grey equation＇s form. Then, original parameters are re- stored by an equations system. After solving the whitenization equation, initial value in time response function is established by least errors criteria. Finally, a numerical case and comparison with other grey prediction models are made to testify the new model＇s effectiveness, and the computational results show that the COGM（1,1） model has a better property and achieves higher precision. The new model is used to forecast China energy con- sumption and production, and the ability of energy self-sufficiency is further analyzed. Results indicate that gaps between consump- tion and production in future are predicted to decline.展开更多
本文基于能源平衡表的内在结构逻辑,在Log Mean Divisia指数分解法的基础上,建立拓展的能源强度指数分解方法,将单位GDP能耗指标变化分解为五个因素的效应(结构效应、部门强度效应、加工转换效应、输配效应以及终端比重效应),并应用这...本文基于能源平衡表的内在结构逻辑,在Log Mean Divisia指数分解法的基础上,建立拓展的能源强度指数分解方法,将单位GDP能耗指标变化分解为五个因素的效应(结构效应、部门强度效应、加工转换效应、输配效应以及终端比重效应),并应用这个方法对我国1991-2010年间的单位GDP能耗指标的变化进行实证分解。实际结果表明该期间单位GDP能耗的变化主要来自于产业部门强度效应,其它四个因素效应的作用相对较小,但即因素效应的作用随着时间有不同的变化。展开更多
基金supported by the National Natural Science Foundation of China(710710777130106071371098)
文摘In order to improve prediction accuracy of the grey prediction model and forecast China energy consumption and production in a short term, this paper proposes a novel com- prehensively optimized GM（1,1） model, also named COGM（1,1）, based on the grey modeling mechanism. First, the relationship of the background value formula and its whitenization equation is analyzed and a new method optimizing background values is proposed to eliminate systemic errors in the modeling process. Second, the solving process of the new model is derived. For parameter estimation, a set of auxiliary parameters are used to change grey equation＇s form. Then, original parameters are re- stored by an equations system. After solving the whitenization equation, initial value in time response function is established by least errors criteria. Finally, a numerical case and comparison with other grey prediction models are made to testify the new model＇s effectiveness, and the computational results show that the COGM（1,1） model has a better property and achieves higher precision. The new model is used to forecast China energy con- sumption and production, and the ability of energy self-sufficiency is further analyzed. Results indicate that gaps between consump- tion and production in future are predicted to decline.
文摘本文基于能源平衡表的内在结构逻辑,在Log Mean Divisia指数分解法的基础上,建立拓展的能源强度指数分解方法,将单位GDP能耗指标变化分解为五个因素的效应(结构效应、部门强度效应、加工转换效应、输配效应以及终端比重效应),并应用这个方法对我国1991-2010年间的单位GDP能耗指标的变化进行实证分解。实际结果表明该期间单位GDP能耗的变化主要来自于产业部门强度效应,其它四个因素效应的作用相对较小,但即因素效应的作用随着时间有不同的变化。
