"Hourly Renewable Power Generation and Meteorological Data from Goi\u00e1s, Brazil (2024)"

"This dataset contains hourly measurements of renewable power generation from five different plants, combined with meteorological variables, collected in Goi\u00e1s, Brazil, in 2024. The power generation data include values from multiple renewable sources, while the climate variables comprise temperature, relative humidity, wind speed, solar radiation, and precipitation. The dataset is suitable for applications in renewable energy forecasting, energy management, and climate impact analysis, as well as for the development and validation of machine learning and statistical models. By integrating operational and environmental information, this dataset provides a valuable resource for studies focused on energy efficiency, smart grid optimization, and the interaction between renewable energy production and meteorological conditions."