AI model that leads to fraud elimination in an electric power distribution network

fraud detection

“Analytical tool from BigHub helped us to detect suspicious electric offtakes. Moreover, the fusion of isolated data sources into one place created an option for us to further analyze the data and work on behavioral segmentation of our customers.”

Ing. Jarmila Verešová

Head of the Inspection team, VSD, a.s.

Project background

Electricity supplier, VSD, wants to discover unauthorized energy offtakes by „Analytics First“ approach. This helps to decrease in-fields inspectors allocations and let them focus on the most relevant cases.

Our approach

Unauthorized power offtake is accompanied with consumption drop. The solution is analytical tool based on AI algorithm which analyzes data from consumption meters and detects „black offtakes“.

The data provided by the client allowed model to reconstruct past frauds and train AI to find other similar cases based on key auto-learned symptoms.

This helps Inspection team to make more data driven choices.

Part of the analytical tool is a dashboard with ability to visualize the results.

Benefits of our approach

Cost savings due to fraud elimination

Fast anomaly detection with AI model

Visualization of the results

Detection of suspicious cases „a priori“ as oppose to „ex post“

Integral view on energy consumption in context of business type, turnover, ownership structures and peer benchmarking

Advance tool to analyze data fused from different sources on one place

Detection of Fraud Offtakes

Efficient suspect targeting

Discover sudden consumption drops
Elimination of natural anomalies
More accurate inspections

Inspection Team Tool

Cost savings on inspections

AI modelling based on past frauds
Finding similar cases with machine learning
Comprehensive conclusions to present