Research on electricity data collection method based on improved K-means algorithm

With the continuous development of the power grid system, the collection of electric power data faces the problems of data complexity, large data volume, and imprecise hand collection. In order to solve the above problems, this paper proposes a new type of power data collection method based on the improved K-means algorithm. First, the traditional Kmeans algorithm is analyzed and optimized, and then the improved K-means algorithm is obtained. Subsequently, based on the improved algorithm, the power data acquisition system is designed and analyzed. Finally, the designed power data acquisition system is experimentally analyzed, and the experimental results show that the power data acquisition method proposed in this paper can meet the actual demand and can effectively improve the storage performance of the system.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/iccasit62299.2024.10827967
Primary Topic
Wireless Sensor Networks and IoT
Type
article
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Research on electricity data collection method based on improved K-means algorithm

Shuai Liu, Jie Gong, Kaiwei Yan, Meiling Zhang et al.
Wireless Sensor Networks and IoT
article

Research on electricity data collection method based on improved K-means algorithm

Shuai Liu, Jie Gong, Kaiwei Yan, Meiling Zhang, Siyuan Suo
article en

Abstract

With the continuous development of the power grid system, the collection of electric power data faces the problems of data complexity, large data volume, and imprecise hand collection. In order to solve the above problems, this paper proposes a new type of power data collection method based on the improved K-means algorithm. First, the traditional Kmeans algorithm is analyzed and optimized, and then the improved K-means algorithm is obtained. Subsequently, based on the improved algorithm, the power data acquisition system is designed and analyzed. Finally, the designed power data acquisition system is experimentally analyzed, and the experimental results show that the power data acquisition method proposed in this paper can meet the actual demand and can effectively improve the storage performance of the system.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 69%
Wireless Sensor Networks and IoT
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Research on electricity data collection method based on improved K-means algorithm — Shuai Liu, Jie Gong, et al. · (2024) | TGRS Research Map | TGRS