Research On The Relationship Between Economic Cycle And Electricity Demand Based On Large Data Technology

At present,economic development is not stable growth.Especially in the process of modern industrialization and urbanization,economic development has been in a fluctuating trend with certain periodicity.In our country,the economy and power industry shows obvious periodic fluctuations in the development process.Correctly understanding and grasping the law of periodic fluctuations in the development of electricity demand helps to achieve a healthy and sustainable coordinated development between the national economy and the power industry and will not affect the continuous stability of the electric industry and the entire national economy due to the ups and downs of the economy.In recent years,with the advent of the big data era,big data technology will become one of the key technologies of modern information technology.The traditional data processing methods are also facing more and more serious challenges.Based on the perspective of economic cycle fluctuation,this paper studies the relationship between economic cycle and electricity demand cycle based on big data technology,aiming at reasonably explaining the dynamic equilibrium relationship between the long-term development of electricity demand and the economy.First of all,it elaborates the related theory of big data technology,starts with the characteristics and types of big data,summarizes the key technology of big data and analyzes the application of big data technology in power industry and electricity demand analysis;Secondly,the relationship between economic cycle and demand cycle is qualitatively analyzed through the periodic division of economic and electricity demand through the original sequence of growth rate and the periodic component sequence obtained by HP filtering;Thirdly,the principle of spectrum analysis and error correction model is expounded,which lays a foundation for analyzing the relationship between economic cycle and electricity demand cycle,and establishing the relationship between economic cycle and electricity demand cycle;Finally,using the data from the various provinces and cities of north China economy and demand from the perspective of empirical analysis of the north China provinces economic cycle and electricity demand cycle successively and the intrinsic relationship between each other,and by using the theory of cointegration test economic cycle and long-term equilibrium relationship between power cycle,according to the result of granger causality test whether the economic cycle and electricity demand cycle for the reason of the change of the each other,error correction model is put forward to analyze the short-term economic cycle and power cycle equilibrium relationship,on the basis of using the impulse response analysis of electricity demand cycle component composition and GDP cycle of mutual impact response.Based on the qualitative analysis of the economic cycle and electricity demand cycle relationship on the basis of the application of big data technology in-depth research on the relationship between economic cycle and power demand cycle from a quantitative point of view,to provide a reference for future economic cycles and power demand anticipation,which contributes to the power system of the scientific and rational planning and realize the sustainable development of electric power system.