Effectiveness of the Implementation of a Data Mining Algorithm-Based Peak Restriction Method (2024)

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  • Gang Chen Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jiangmen 529000, Guangdong Province, China

    Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jiangmen 529000, Guangdong Province, China

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    ,
  • Feng Wang Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jiangmen 529000, Guangdong Province, China

    Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jiangmen 529000, Guangdong Province, China

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    ,
  • Liping Xu Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jiangmen 529000, Guangdong Province, China

    Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jiangmen 529000, Guangdong Province, China

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Procedia Computer ScienceVolume 228Issue C2023pp 601–608https://doi.org/10.1016/j.procs.2023.11.070

Published:27 February 2024Publication History

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Procedia Computer Science

Volume 228, Issue C

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Effectiveness of the Implementation of a Data Mining Algorithm-Based Peak Restriction Method (1)

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Abstract

Abstract

In recent years, along with the rapid development of economy and society, the quality of life of people has been greatly improved, the total amount of electricity consumption has increased rapidly, and the scale of power system has been expanding. With the rapid increase of China's electricity supply, the corresponding infrastructure construction cannot keep up with the development of electricity consumption, resulting in a huge electricity consumption gap. Especially in recent years, some regions of China are facing industrial and industrial transformation, urban re-planning and renovation, leading to the complication of the structure and operation of the power grid, as well as the problem of heavy load and overload of power-using equipment. This paper describes the concepts and principles of the data algorithm and the peak-limit method, and makes a comparison of the economic losses of eight regions before and after the optimization of the data mining (DM) algorithm through experimental analysis. The results verify the effectiveness of the algorithm in solving the peak-limit problem and prove that the algorithm is of great research significance.

References

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    Index Terms

    1. Effectiveness of the Implementation of a Data Mining Algorithm-Based Peak Restriction Method
      1. Applied computing

        1. Computing methodologies

          1. Information systems

            1. Information systems applications

              1. Data mining

            2. Theory of computation

              1. Design and analysis of algorithms

            Index terms have been assigned to the content through auto-classification.

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              Effectiveness of the Implementation of a Data Mining Algorithm-Based Peak Restriction Method (17)

              Procedia Computer Science Volume 228, Issue C

              2023

              1310 pages

              ISSN:1877-0509

              EISSN:1877-0509

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              Copyright © 2023

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                  Elsevier Science Publishers B. V.

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                  Publication History

                  • Published: 27 February 2024

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                  • Peak Restriction Method
                  • Implementation Effectiveness
                  • DM Algorithm
                  • Effectiveness Analysis

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