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.

本数据集由从118个单元的电力系统收集的高维数据流构成，为大规模智能电网中的故障诊断和分类提供了宝贵的资源。数据体现了典型的网络物理系统面临的现实挑战，包括计算复杂性、测量噪声以及冗余数据等问题，这些因素均可能影响模型性能。该数据集特别适用于开发和评估特征工程技术——如特征选择和降维——以及分类算法，以提升高维环境下的诊断准确性。研究人员与实践者可以利用本数据集测试和验证旨在改进复杂电力系统中故障检测与分类的多种方法，从而成为推动关键基础设施数据驱动方法发展的宝贵资产。