Inspiration

Fraud detection is a very important domain that can take advantage of machine learning.

What it does

Fraud detection machine learning model that predicts fraudulent electricity or gas consumption.

How we built it

  • utilized multiple approaches for improving the evaluation metrics such as feature engineering, undersampling, oversampling, hp tuning on multiple ml models, anomaly detection models

What's next for Energy Consumption Fraud Detection

  • Build a fraud detection system for a user interface
  • More research in the topic and find potential areas of improvement

Built With

Share this project:

Updates