Smart Grid Stability Augmented Dataset for Decentralized Control & AI Optimization

A comprehensive augmented dataset containing 60,000 observations for predicting electrical grid stability in decentralized smart grid control (DSGC) systems. Ideal for testing binary classification algorithms and deep learning models in energy management.