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.
Authors
- Shuai Liu (ORCID: https://orcid.org/0000-0003-0523-022X)
- Jie Gong (ORCID: https://orcid.org/0000-0002-3923-2488)
- Kaiwei Yan (ORCID: https://orcid.org/0000-0002-8068-278X)
- Meiling Zhang (ORCID: https://orcid.org/0000-0002-4854-562X)
- Siyuan Suo
Institutions
- State Grid Corporation of China (China) (CN)
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1109/iccasit62299.2024.10827967
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00