Fraud Detection in Electric Power Distribution Networks
Machine learning and Big Data analysis help the electric utilities handle problems
with the non-technical losses caused by frauds and thefts committed by some of their consumers.
Overview
- Monitoring center
- Big Data analysis
- Input-output analysis
- Integration solution
Features
- Optimal set of mathematical models
- Comparison of forecast accuracy between mathematical models
- Forecasting of non-technical losses
- Detection of violations
- Automatic assignment of address checks
Benefits
- Identification of technical and economic potential for loss reduction
- Prediction of non-technical losses as accurately as to the consumer’s house
- Guaranteed measures to identify and eliminate sources of losses in conditions of limited resources