Vineel Vajrapu completed Energy and Renewable: Machine Learning for the Power Grid

Built a leakage-aware turbine yield predictor end to end: selected the 8 available sensor features, excluded downstream CO/NOx emissions, trained both a linear baseline and a random forest, and validated on a locked-away later-year test split. The final model achieved about 1.5 MWh MAE and was documented with a concise model card covering intended use, limitations, and monitoring.

• Leakage-Free Feature Engineering
• Honest Held-Out Evaluation
• Model Card Risk Communication