Solar Power Prediction

• Tech Stack: Torch, Scikitlearn, Python
• Github URL: Project Link

Predicting solar PV power generation is challenging due to weather-driven fluctuations. Using a dataset with 4,213 rows and 21 features, including temperature, humidity, and radiation, we applied machine learning and data processing to enhance accuracy. Our model helps estimate solar energy output, addressing intermittency issues for more reliable power forecasting.