"Time-Series Dataset of Three-Phase Voltage, Current, and Power Parameters for Power Quality Analysis in Distribution Systems"

"This dataset presents high-resolution, time-synchronized three-phase electrical measurements obtained from a simulated distribution system model developed using MATLAB\/Simulink. The dataset includes supply-side and load-side three-phase voltage and current signals, along with derived electrical quantities such as active power, reactive power, and power factor. The time-series data are recorded with fine temporal resolution to accurately capture both steady-state and dynamic operating conditions commonly encountered in modern power distribution networks.The dataset is intended to support research in power quality assessment, voltage stability analysis, reactive power compensation, and distributed energy resource integration. It can be effectively used for analyzing voltage deviations, current imbalance, power factor variation, and transient behaviors under different operating scenarios. In addition, the availability of synchronized multi-parameter measurements makes the dataset suitable for advanced signal processing tasks, including feature extraction, statistical analysis, and harmonic or disturbance characterization.Owing to its structured and comprehensive nature, the dataset is particularly relevant for data-driven and machine learning\u2013based applications, such as power quality event classification, anomaly detection, predictive modeling, and intelligent control strategies involving controllers, energy storage systems, or compensating devices. The dataset is provided in a reusable format to facilitate reproducibility and comparative evaluation across different analytical and machine learning frameworks in power and energy systems research."