Albert Alexander Stonier

Hybrid machine learning framework for electrical grid stability prediction using comparative model evaluation

Accurately predicting electrical grid stability is essential to ensuring the reliability, resilience, and sustainable operation of modern smart energy systems. The nonlinear interactions among the grid operating parameters make stability prediction challenging, particularly when conventional machine learning models...