Smart Grid Fraud Detection

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