Solar Power Prediction & Anomaly Detection: This project predicts solar plant AC power using a hybrid ensemble of ANN, Random Forest, SVR, and XGBoost. It evaluates model performance with regression metrics, detects anomalies, and generates insightful visualizations to monitor plant efficiency and detect irregularities.