A Semi-Supervised Anomaly Detection Framework for Electricity Theft Using Optimized Feature Selection
Kyungwon Shin; Ruobin Qi
- Published
- Publisher
- IEEE
- Journal / collection
- 2026 IEEE World AI IoT Congress (AIIoT)
- Research area
- Energy & infrastructure
- Source type
- Conference paper
- DOI
- 10.1109/aiiot68874.2026.11569609
The original publisher provides the full text and its access options.
Cite this source
Kyungwon Shin; Ruobin Qi. A Semi-Supervised Anomaly Detection Framework for Electricity Theft Using Optimized Feature Selection. 2026 IEEE World AI IoT Congress (AIIoT). 2026-05-20. https://doi.org/10.1109/aiiot68874.2026.11569609