Algorithm of Scheduling Game Management Based on Big Data Integrated Energy Management and Control

Authors

  • Wei Zhao Smart Finance and Business School of He Fei College of Finance & Economics, Hefei 230601,Anhui, China
  • Yunping Ai School of International Business, Anhui International Studies University, Hefei 231201, Anhui, China

Abstract

Currently, the information society is being transformed into an intelligent society. Various emerging technologies are being applied in various fields, and the application of big data (BD) in the energy field is also driving the transformation of the energy field to an intelligent industry. BD has five main characteristics: a huge amount of data, the general process of parallel processing when importing data into the database, diverse data types, little high-value data and real data sources. BD technology is used in the energy field to comprehensively consider the data of various types of energy, geographical environment, meteorological and other factors, for the purpose of energy collection, data analysis, energy processing and use. BD energy management and control not only make the energy production and management and control mode in the energy field enter a new era, but also further promote the development of the energy industry and optimize the energy scheduling algorithm. Comprehensive energy management and control involves collecting the data of the existing energy using equipment, monitoring the energy consumption data of each equipment in real time, and conducting a statistical analysis of this data, so as to obtain a more energy-saving air conditioning and equipment management strategy, ultimately achieving the goal of conserving energy and reducing operating and production costs. Game theory is derived from applied mathematics, and is used for better decision-making. The current scheduling algorithm is similar to the process scheduling in the computer field. In this paper, the traditional scheduling game management algorithm through the BD integrated energy management and control mode was analyzed. The traditional
scheduling game management algorithm was optimized using several BD technologies, and the main steps of energy production, storage and use were improved through BD technology. Finally, model experiments were conducted on the new scheduling game management algorithm based on BD energy integrated management and control and on the traditional scheduling game management algorithm; then the differences in their performance indicators were compared. Compared with the traditional scheduling game management algorithm, the new scheduling game management algorithm had an average improvement of 38.5% in multiple performance indicators. At present, however, the research and building of BD technology infrastructure has not been well popularized, so the new algorithm proposed in this paper has limited application.


Keywords: scheduling game management; big data; energy control; energy report

Cite As

W. Zhao, Y. Ai, " Algorithm of Scheduling Game Management Based on Big Data Integrated Energy Management and Control"
Engineering Intelligent Systems, vol. 33 no. 2, pp. 111-120, 2025.


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Published

2025-03-01

Issue

Vol. 33 No. 2 (2025): International Journal of Engineering Intelligent Systems

Section

Article

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