Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach

The natural gas tightly correlates with our everyday life. However, driven by gray incomes, some users are prone to stealing gas by refitting the equipment without permission. Especially for the boiler room users in winter, this phenomenon appears more rampant. Traditional gas-theft detection method...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2022-12, Vol.34 (12), p.5796-5808
Hauptverfasser:	Yi, Xiuwen, Yang, Xiaodu, Huang, Yanyong, Ke, Songyu, Zhang, Junbo, Li, Tianrui, Zheng, Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Anomaly detection Boiler rooms Boilers Companies Consumption Data integrity Deformation Detection algorithms Feature extraction Gas tightness Gas-theft suspect Inspection Natural gas normality detection Real time Support vector machines Temperature distribution Theft urban computing
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