Open AccessPower User Sensitivity Analysis and Power Outage Complaint Prediction
Author(s) -
Jiahan Ding,
Yunchao Shi,
Ruiqian Zhu,
Xiaoxiong Wei,
Bin Chen,
Jianfeng Yu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/2/022052
Subject(s) - sensitivity (control systems) , computer science , power (physics) , reliability engineering , decision tree , data mining , quality (philosophy) , tree (set theory) , engineering , electronic engineering , mathematics , quantum mechanics , philosophy , epistemology , mathematical analysis , physics
The sensitivity of power users is an important basis for improving the quality of power customer service and refining customer service content. In order to improve the accuracy of power user sensitivity classification, this paper optimizes and improves the decision tree algorithm based on the ant algorithm, builds a power user sensitivity analysis model, and verifies its effectiveness with simulation experiments, which provides a more powerful data reference for improving the quality of power user services and other tasks. Based on the analysis of the sensitivity of power users, combined with the analysis of related characteristic data of power outages, this paper predicts the probability of power user outage complaints, hoping to provide data reference for improving power user satisfaction and reducing power outage complaints.