The Application Of Multivariate Statistical Methods Inenergy Consumption Structure

Energy is an important foundation of the national economy.The normal operation of modern society needs the support of energy.In recent years,China's energy consumption structure has undergone significant changes,gradually evolved from original single coal energy to direction of energy diversification.However,the problem of environmental pollution including the emergence of the haze problem is the result to China's long-term excessive combustion of coal resources.As the rapid economic development of China,the demand for energy will continue to increase.The energy supply of China in the next few years is facing the most serious challenges ever.In this paper,based on the classification of industrial structure,according to statistical data of energy in Chinese statistics yearbook,energy consumption of China in 2015 is up to 4.30 billion tons of standard coal and China has already surpassed the United States as the largest energy consuming country in the world.Meanwhile,China's energy consumption growth has reached nearly three quarters of the global incremental.First,we divide the industry into seven categories,and make the data standardized.By using the SAS software and average linkage cluster analysis to analyze energy consumption in various industries,initially,we can classify the industries into three categories.Then,with the thought of dimension reduction,using principal component analysis method to analyze energy structure can get the main component of energy consumption.Finally,with SPSS software and factor analysis model,according to the two main factor scores of each industry,we can divide the industriesinto three categories.Combining these methods of multivariate statistical analysis,we give some reasonable advice on the energy consumption problem in the future.