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Academic Journal of Energy, 2022, 3(2); doi: 10.38007/RE.2022.030202.

Energy Management Business in the Context of Big Data


Jin Zhao

Corresponding Author:
Jin Zhao

Lyceum of the Philippines University, Philippines


The average temperature of the earth's surface has become higher and higher over the years, and carbon emissions are an important driving force. Many countries around the world, especially the western developed countries, pay more and more attention to this. After China's entry into industrialization, energy consumption such as coal and electricity has increased year by year, and carbon emissions have also increased. In terms of carbon emissions, China is facing a very severe international situation. With the rapid development of information technology, people realize that the informatization of energy management is an important way to reduce carbon emissions. Building carbon emissions account for a large proportion of China's total carbon emissions. As a traditional high energy consuming enterprise, the steel industry has a large amount of carbon emissions, coupled with fierce market competition. Therefore, energy conservation and emission reduction, and the construction of energy management system are very important topics for steel enterprises. Based on the actual production data of steel enterprises, the energy management system unifies the energy-saving performance measurement methods. Through the joint efforts of all departments, the closed-loop management of energy can be achieved, which has a very significant effect on the energy conservation and consumption reduction of steel enterprises and the improvement of energy management level. By studying the energy consumption composition and main energy consumption indicators of steel enterprises, this paper establishes an energy management system suitable for steel enterprises based on big data(BD), Internet of things and cloud computing technology. Finally, the huge benefits obtained after the implementation of the energy management system are analyzed, combined with the current development of BD analysis technology and intelligent optimization control technology and the possible future development direction of the energy management system.


Big Data, Internet of Things, Cloud Computing, Energy Management

Cite This Paper

Jin Zhao. Energy Management Business in the Context of Big Data. Academic Journal of Energy (2022), Vol. 3, Issue 2: 10-19. https://doi.org/10.38007/RE.2022.030202.


[1] Kate, A Sharma . Research on the Design of Intelligent Energy Efficiency Management System for Ships Based on Computer BD Platform. Journal of Physics Conference Series, 2021, 1744(2):22-26.

[2] Liu, Kexi . "Research on the Core Competitiveness of Short Video Industry in the Context of BD—A Case Study of Tiktok of Bytedance Company." American Journal of Industrial and Business Management 12.4(2022):32-33.

[3] DC Kavanaugh , WH Monroe , RS Wood. Research on the application of block chain BD platform in the construction of new smart city for low carbon emission and green environment. Computer Communications, 2020, 149(Jan.):332-342.

[4] M Javaid , A Haleem , RP Singh . [Lecture Notes in Computer Science] Data Mining and BD Volume 10943 || Architecture Proposal for the Information Management in the Generation of Energy in Industry 4.0.  2018, 10.1007/978-3-319-93803-5(Chapter 65):694-703.

[5] Mu S . Research on Online Learning Curriculum in the Context of BD. IOP Conference Series Materials Science and Engineering, 2020, 750(2):12-34.

[6] Reddy R . Research on Data Science, Data Analytics and BD. SSRN Electronic Journal, 2020, 9(5):99-105.

[7] Feng, Hbw . "Research on BD Decision-making Support Platform of New Energy Bus." Journal of Physics: Conference Series 1187(2019):052084-.

[8] Angelopoulos M ,  Kontakou C . BD Analytics for Energy Efficiency. Archives of Business Research, 2020, 8(10):15-23. https://doi.org/10.14738/abr.810.9183

[9] Fahmfam G ,  Hamidi H . Factors Affecting the Development and Management of Smart City Approach Using a Combination of BD and the Internet of Things and Cloud Computing Technologies. Iranian Journal of Information Processing Management, 2019, 34(2):557-584.

[10] Loskot P ,  Al-Shehri S M ,  Numanoglu T , et al. Metrics for Broadband Networks in the Context of the Digital Economies.  2017, 3(1):1-2.

[11] Alshaabani A ,  Naz F , I Rudnák. Impact of Green Human Resources Practices on Green Work Engagement in the Renewable Energy Departments. International Business Research, 2021, 14(3):123-124. https://doi.org/10.5539/ibr.v14n6p44

[12] Zeiler W ,  Labeodan T . Human-in-the-loop energy flexibility integration on a neighbourhood level: Small and BD management. Building Service Engineering, 2019, 40(3):14-19.

[13] Dr E ,  Kumar B P ,  Ramya D . Generation of dynamic energy management using data mining techniques basing on BD analytics isssues in smart grids. International Journal of Engineering and Technology, 2018, 7(2.26):23-25.

[14] Shaw H J ,  Lin C K . Marine BD analysis of ships for the energy efficiency changes of the hull and maintenance evaluation based on the ISO 19030 standard. Ocean Engineering, 2021, 232(7):108-109.

[15] Mohamed A ,  Refaat S S ,  Abu-Rub H . A Review on BD Management and Decision-Making in Smart Grid. Power Electronics and Drives, 2019, 4(1)-18-19.

[16] S Grabowska , S Saniuk . Frameworks for BD Integration, Warehousing, and Analytics - ScienceDirect. BD Application in Power Systems, 2018,9(1):57-73.

[17] Zekavica A M ,  Djordjevic A ,  Vukmirovic A , et al. The Potential of The BD Implementation, in Serbia, in the context of Marketing Research. Management Journal of Sustainable Business and Management Solutions in Emerging Economies, 2018(2):56-57.

[18] Kou Y H ,  Management S O ,  University X H . Research on the Countermeasures of Political Creation in the Context of BD. Journal of Tianshui College of Administration, 2018(4):78-79.