Research on Electricity Prediction Model of Power Purchasing Agent Based on K-means Clustering Algorithm and BP Neural Network

doi:10.3969/j.issn.1008-0198.2025.01.010

Abstract

Abstract: Through the in-depth portrait analysis of power purchasing agents in a certain region, the influence of different factors on the power consumption of power purchasing agents is studied, and the classification of user groups is realized through the clustering algorithm. Through the neural network algorithm, the longitudinal time series electricity and horizontal influencing factors are incorporated into the prediction formula, and the prediction models conforming to the characteristics of different clusters are constructed. Finally, the models are integrated to achieve high accuracy prediction of the overall electricity.

Key words: power purchasing agent, electricity prediction, clustering algorithm, neural network, portrait analysis

CLC Number:

TM714

YU Zhicheng, MU Shicai, LIANG Ye, LI Jiachen, LIN Hua, CHEN Jichen, JIN Xin. Research on Electricity Prediction Model of Power Purchasing Agent Based on K-means Clustering Algorithm and BP Neural Network[J]. Hunan Electric Power, 2025, 45(1): 68-72.

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