Neural Clustering and Ranking Approach for Gas-Theft Suspect Detection
Abstract Some boiler room users steal natural gas by refitting equipment without permission in winter, resulting in gas safety hazards and social problems. Instead of random manual on-site inspection, it is crucial to discover gas-theft suspects timely and automatically by analyzing the gas consumpt...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer Nature
2023-04-01
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Series: | Human-Centric Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s44230-023-00022-6 |