The aim of this project is the Detection of Fraud in Smart Grids using Machine Learning Techniques, such as:
- Logistic Regression
- SVM
- Decision Trees
- Random Forests
- Multilayer Perceptron Neural Networks
- Convolutional Neural Networks (1D & 2D)
The data used in this project were taken from https://github.com/henryRDlab/ElectricityTheftDetection