Hybrid machine learning framework for electrical grid stability prediction using comparative model evaluation
A systematic comparative evaluation of machine-learning and deep-learning approaches for electrical grid stability prediction using the Electrical Grid Stability Simulated Dataset, comprising 10,000 observations from a decentralized four-node star-topology power system shows that hybrid ensemble learning combined with...