Develop Forecasting Models with MLflow

Implement time-series forecasting models (e.g., LSTM with TensorFlow/PyTorch or Prophet with Facebook's library) for predicting both the general load profile and the specific, high-growth data center load. Additionally, forecast solar and wind generation. Use MLflow to track model training, parameters, and performance metrics (e.g., MAE, RMSE) for each forecasting model. Ensure your MLflow setup allows for easy comparison of different model architectures and hyperparameter tunings.