Self-directed project
Energy and Renewable: Machine Learning for the Power Grid
Junior Machine Learning Engineer · AI / ML · August 2026
A ProoV case study · educational project, not employment
Built a leakage-free gas-turbine yield predictor using the 8 legitimate ambient and turbine sensors, explicitly excluding downstream CO and NOx emissions. Compared a LinearRegression baseline with a RandomForest model, validated on a locked-away later-year test split, and reported honest held-out performance around 1.5 MWh MAE and 0.984 R2. Also documented limitations, drift monitoring, and a manager-friendly explanation of when the model can fail.
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 to avoid leakage
- Used an earlier-years train / later-years test split instead of a random shuffle
- Reported held-out MAE, RMSE, and R2 for the tuned model
- Included a concrete monitoring plan tied to rolling error and sensor anomalies
- Leakage-Free Feature Selection
- Honest Held-Out Evaluation
The work I submitted20 tasks
12 tasks · 13 lines · Python, JavaScript · 8 written answers · 440 words
- Problem Frame238 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 Read236 characters
- Drift Monitor92 characters
- Model Card988 characters
- Teach BackJavaScript · 740 characters
- Problem Frame18 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.