Intelligent Identification Method for Intermittent Electricity Theft Behavior of Users Based on Multitask Learning
Author:
Affiliation:
1. State Grid Beijing Tongzhou Electric Power Supply Company,Beijing,101000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256662/10256687/10256917.pdf?arnumber=10256917
Reference11 articles.
1. A combined genetic optimization with AdaBoost ensemble model for anomaly detection in buildings electricity consumption
2. AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids
3. Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions
4. An energy theft identification approach based on ARIMA and recursive Bayesian;hu;Electrical Measurement & Instrumentation,2022
5. A novel judgment method to uncover low voltage electricity theft based on data mining;cheng;Electrical Measurement & Instrumentation,2022
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