Self-directed project
Energy and Renewable: Machine Learning for the Power Grid
Junior Machine Learning Engineer · AI / ML · July 2026
A ProoV case study · educational project, not employment
Built a leakage-free turbine yield predictor end to end: framed TEY as the target, excluded downstream CO/NOx emissions, trained a LinearRegression baseline and a tuned RandomForest, and validated on a genuine time-based hold-out split. Reported honest held-out performance (MAE 1.53 MWh, RMSE 1.94 MWh, R2 0.98) and documented practical limits plus a monitoring/retraining plan.
Graded against
- Build and validate the model correctly35%
- Optimize and evaluate honestly25%
- Write the Model Card (clarity + honesty)25%
- Explain it to a non-expert15%
Passed · pass mark 60/100
What stood out6
- Correctly excluded CO and NOx as downstream emissions and kept the 8 legitimate sensor features
- Used an earlier-years train / later-years test split instead of a random shuffle
- Compared LinearRegression against RandomForest and showed a clear held-out improvement
- Checked residuals and explicitly noted the model may not generalize to a different plant
- Leakage-Free Feature Engineering
- Honest Held-Out Evaluation
The work I submitted20 tasks
12 tasks · 13 lines · Python, JavaScript · 8 written answers · 432 words
- Problem Frame169 characters
- Leakage Flags113 characters
- Train Validate BaselinePython · 1.4k characters
- Train Validate Forest943 characters
- Train Validate124 characters
- Tune Evaluate SetupPython · 1.5k characters
- Tune Evaluate ResidualsPython · 2 lines
- Tune Evaluate132 characters
- Residual Read198 characters
- Drift Monitor93 characters
- Model Card731 characters
- Teach BackJavaScript · 754 characters
- Problem Frame10 words
- Leakage Flags1 word
- Train Validate Baseline141 words
- Train Validate Forest76 words
- Train Validate1 word
- Tune Evaluate Setup110 words
- Tune Evaluate Residuals92 words
- Tune Evaluate1 word
Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.