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
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.
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