FORECASTING ENERGY PRODUCTION USING ARTIFICIAL INTELLIGENCE BASED ON DATA FROM THE 510 KW SOLAR POWER PLANT AT QARSHI STATE UNIVERSITY

Аннотация:

In this scientific study, the production data from the 510 kW solar power plant located on the campus of Qarshi State University were analyzed to explore the potential of artificial intelligence (AI) in forecasting energy generation. Using the Random Forest regression model, the impact of meteorological factors—including temperature, relative humidity, wind speed, and atmospheric pressure—on energy production was evaluated. The model was trained on 2024 data and tested using data from January–February 2025. According to the results, the model achieved a forecasting error in the range of 17–23 kW, demonstrating that the AI-based approach is well-suited to Qarshi’s climatic conditions and holds practical significance.