Daksh Patel completed Energy and Renewable: Machine Learning for the Power Grid

Built a TEY prediction model for gas-turbine operations using leakage-free sensor features and a time-based held-out evaluation. Compared a LinearRegression baseline with a RandomForest model, reported honest MAE/RMSE/R² on unseen data, and documented the model’s intended use, limitations, and monitoring plan in a concise model card.

• Leakage-Free Feature Selection
• Held-Out Model Evaluation
• Residual-Based Error Reading
• Plain-Language Model Communication