Self-directed project
Energy and Renewable: Machine Learning for the Power Grid
Junior Machine Learning Engineer · AI / ML · September 2026
A ProoV case study · educational project, not employment
Built a leakage-aware turbine yield predictor end to end: framed TEY as the target, excluded downstream CO/NOx emissions, trained a LinearRegression baseline and a RandomForest model, and validated on a locked-away later time period. Reported honest held-out MAE, RMSE, and R2, then translated the result into a concise model card and manager-friendly summary with clear limits and failure conditions.
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 explicitly justified the exclusion.
- Used an earlier-period training split and locked away later data for testing instead of a random shuffle.
- Compared a LinearRegression baseline to a RandomForest and showed a clear held-out MAE improvement.
- Checked residual behavior and noted a positive residual mean / underprediction at higher load.
- Leakage-Free Feature Selection
- Time-Based Model Validation
The work I submitted20 tasks
12 tasks · 13 lines · Python, JavaScript · 8 written answers · 419 words
- Problem Frame154 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 Evaluate130 characters
- Residual Read153 characters
- Drift Monitor93 characters
- Model Card1.9k characters
- Teach BackJavaScript · 807 characters
- Problem Frame9 words
- Leakage Flags1 word
- Train Validate Baseline141 words
- Train Validate Forest76 words
- Train Validate1 word
- Tune Evaluate Setup110 words
- Tune Evaluate Residuals80 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.