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Orderly power consumption strategy based on user behavior analysis

Published: 31 July 2024 Publication History

Abstract

This paper proposes an orderly power consumption decision-making method based on the analysis of user power consumption behavior, a dynamic adaptive K-means clustering method based on user power consumption behavior analysis and a cluster analysis method based on weekly load correlation to analyze the changes in power consumption behavior of power users who are suitable for participating in orderly power consumption load management on working days and weekdays. Accurately master the law of users' power consumption, reasonably distinguish the typical power consumption behavior of users on working days and weekends, and formulate more appropriate orderly power consumption strategies.

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 31 July 2024

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