A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters.
Ruobin QiJun ZhengZhirui LuoQingqing LiPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- data driven
- detection method
- significant improvement
- preprocessing
- pairwise
- ambient intelligence
- clustering method
- high precision
- cost function
- short term
- experimental evaluation
- high accuracy
- probabilistic model
- unsupervised learning
- support vector machine
- similarity measure
- computational cost
- dynamic programming
- computational complexity