Research On The Evolution Path Of Energy Big Data Ecosystem In The Context Of Energy Internet

Driven by big data,modern information,intelligent management and other technologies,energy internet has been developed effectively with giving rise to largescale data resource,and energy big data came into being.Along with the construction and improvement of energy internet,energy big data plays a huge application potential in all aspects of the energy industry.The application of energy big data is conducive to breaking the barriers between energy industries and realizing the information exchange and sharing between different levels and departments.However,as energy big data is still in primary stage in China,the development of various markets is not mature.It is very necessary to improve technical innovation ability,product service scale and data management and sharing,and there is a lack of exploration to realize the development vitality of energy big data and become a healthy and stable industry.Therefore,how to truly realize the complementarity of resource advantages,mutual benefit and win-win business model,create a healthy and sustainable energy big data ecosystem,build a good industrial order,and play a greater aggregation effect are very urgent problems that to be studied and solved.Based on this,this paper analyzes the influence of energy internet on the industrial chain and ecological construction of energy big data in the context of the current situation of energy big data development,and conducts research on the identification of key influencing factors,analysis of evolutionary trends and design of future development paths,in order to provide theoretical reference for the orderly development of energy big data.First of all,this paper analyzes the current situation and behavior characteristics of energy big data ecosystem,clarifies three types of key elements of the energy ecosystem evolution,and explores the all-round influence of energy internet construction on the development of the energy big data industry chain and ecosystem.Secondly,after identifing the key factors affecting the development of energy big data ecosystem and proposing the calculation method of the comprehensive impact of the calculation factors,this paper establishes the index system of the key impact factors of the energy big data ecosystem.Then it calculates the importance of each factor based on the comprehensive influence degree model of AHP-DEMATEL.Next,this paper explores the effects of different influencing factors on the energy big data ecosystem.Around the key factors and related factors affecting the development of the energy big data ecosystem,the causality diagram and system flow diagram of system dynamics are drawn.After the model passes the simulation test,the future development trend of energy big data ecosystem is simulated to find out the entry point for future development focus and measure formulation.Finally,this paper derives the evolution path of energy big data ecosystem in the context of energy internet,summarizes the important stages and key nodes in the evolution process of energy big data ecosystem,and analyzes the relationship changes between key subjects in each stage of ecological formation through the "four-wheel" drive model of growth mechanism.From the perspectives of government and enterprises,the future development of the energy big data ecosystem is proposed.In summary,this paper establishes the system dynamics model of the energy big data ecosystem from the micro level by effectively identifying key factors affecting the development of the energy big data industry,clearly and intuitively showing the development trend of the energy big data industry under different conditions.In addition,this paper summarizes the key points for future development according to the evolution of the ecosystem under different conditions,and proposes the evolution path of the energy big data ecosystem,which will be beneficial to the formulation of relevant policies and key measures,and promote the sound and effective development of the energy big data industry.