Solar Power Generation Data

The Solar Power Generation Data dataset provides synchronized inverter-level AC\/DC power and yield measurements together with plant-level weather sensor observations from two grid-connected photovoltaic plants in India over 34 days at approximately 15\u2011minute resolution.\u200bIt comprises four CSV files including one generation file and one sensor file for each plant which totals about 2 MB, enabling compact yet information-dense time-series analysis.\u200bGeneration files include DATE_TIME, PLANT_ID, SOURCE_KEY, DC_POWER, AC_POWER, DAILY_YIELD, and TOTAL_YIELD, supporting inverter-level production tracking and energy aggregation across days.\u200bSensor files report AMBIENT_TEMPERATURE, MODULE_TEMPERATURE, and IRRADIATION, providing the environmental drivers required to contextualize and normalize power outputs.\u200bEach plant contains 22 inverters, offering granular spatial diversity across inverter strings for comparative analytics and reliability studies.\u200bThe 15\u2011minute sampling cadence captures diurnal behavior, ramp rates, and weather\u2013power couplings typical of operational PV fleets, facilitating both descriptive analysis and high-frequency modeling.\u200bThe dataset is widely adopted in solar-power forecasting literature, serving as a benchmark for supervised learning, feature engineering, and cross-plant generalization investigations.\u200bRepresentative applications include short-term energy forecasting, inverter and plant performance evaluation, and anomaly detection such as efficiency drift under varying irradiance and temperature regimes.