IEEE 118-Bus Cyber-Physical Power System Data Streams

This dataset consists of high-dimensional data streams collected from a cyber-physical 118-bus power system, offering a valuable resource for fault diagnosis and classification in large-scale smart grids. The data represents real-world challenges typical of cyber-physical systems, including computational complexity, measurement noise, and redundant data, all of which can impact model performance. This dataset is particularly suited for developing and evaluating feature engineering techniques—such as feature selection and dimensionality reduction—as well as classification algorithms to enhance diagnostic accuracy in high-dimensional settings. Researchers and practitioners can use this dataset to test and validate various approaches aimed at improving fault detection and classification in complex power systems, making it a significant asset for advancing data-driven methodologies in critical infrastructure.