Power User Sensitivity Analysis and Power Outage Complaint Prediction

Autor:	Ding Jiahan, Shi Yunchao, Ruiqian Zhu, Chen Bo, Wei Xiaoxiong, Jianfeng Yu
Rok vydání:	2021
Předmět:	History Computer science Complaint Sensitivity (control systems) Power user Computer Science Applications Education Power (physics) Reliability engineering
Zdroj:	Journal of Physics: Conference Series. 1852:022052
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1852/2/022052
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::75c8a754f14c7c985c8f8a5691648f6e https://doi.org/10.1088/1742-6596/1852/2/022052 Zobrazit plný text záznamu