This synthetic dataset was generated using Gaussian Copula Synthesizer, based on real data from three different photovoltaic plants. The dataset is structured to preserve the statistical characteristics of the original data while ensuring anonymization and non-traceability to actual data. Dataset Structure The dataset contains 31,537 synthetic rows for each plant, with the corresponding measurements for individual inverters. Each plant has a different number of inverters, and while the column names vary for each plant, they include similar information regarding the following key variables: - Current, voltage, and power (both upstream and downstream of inverters) - Environmental and meteorological data (irradiance, temperature) - Operational status of inverters (e.g., stopped or running) Additional Contents In addition to the synthetic data, the dataset includes: - Metadata for each plant, detailing the parameters used by the Gaussian Copula Synthesizer for data generation. - A time-trend plot of the Grid current downstream of an inverter for each plant, useful for analyzing the variation of grid current over time. - A detailed legend of the columns for each plant, enabling correct interpretation of the dataset variables. This dataset is valuable for statistical analysis, machine learning, and simulations in the field of renewable energy, without relying on real sensitive data.