Application of machine/deep learning models & algorithms in the energy sector

Source code for the paper "Uncertainty-Aware Stability Analysis of IBR-dominated Power System with Neural Networks"

Matlab code for running the NRPS, RAPS, FEPS and nonlinear Kuramoto models: Models for electric grids that capture the dynamics of synchronous machines and VSMs.

Comparative Analysis of Machine Learning Models for Predicting Smart Grid Stability

Simulating success rates for a campaign encouraging consumers to shift their electric vehicle charging from peak to off-peak hours to help alleviate grid strain.

Bank marketing prediction with Logistic Regression (SMOTE, L1/L2) and Electrical Grid Stability classification with SVM (Linear, RBF, Polynomial). Achieved 97.3% accuracy with tuned RBF kernel.