Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework

Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework

Abstract This study aims to develop an efficient model to predict the arrears behavior of electricity users by integrating multi-scale feature learning with a backpropagation (BP) neural network. The goal is to provide accurate early warning systems and enhanced risk management tools for power compa...

Full description

Saved in:
Bibliographic Details
Main Authors: Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:Energy Informatics
Subjects:
Electricity users’ arrears behavior prediction
BP neural network
Multiscale feature learning
Smart grid
Online Access:https://doi.org/10.1186/s42162-024-00441-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s42162-024-00441-0

Similar Items