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 turbine TEY predictor end to end using leakage-free sensor inputs, a LinearRegression baseline, and a tuned RandomForest model. Evaluated it on a later held-out period with MAE, RMSE, and R2, and documented the model’s intended use, limitations, and monitoring plan in a concise model card.
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 dropped CO and NOx because they are downstream emission outputs and would leak future information into the prediction.
- Compared a LinearRegression baseline against a RandomForest and showed a clear held-out MAE improvement.
- Reported held-out MAE, RMSE, and R2, and included a residual-read concept plus a retraining threshold in the monitoring plan.
- Acknowledged key limitations such as single-plant training and poor extrapolation beyond observed ambient conditions.
- Leakage-Free Feature Selection
- Time-Based Holdout Evaluation
The work I submitted19 tasks
11 tasks · 7.3k characters · Python, JavaScript · 8 written answers · 363 words
- Problem Frame160 characters
- Leakage Flags113 characters
- Train Validate BaselinePython · 1.4k characters
- Train Validate Forest943 characters
- Train Validate124 characters
- Tune Evaluate SetupPython · 1.5k characters
- Tune Evaluate89 characters
- Residual Read230 characters
- Drift Monitor93 characters
- Model Card1.1k characters
- Teach BackJavaScript · 1.6k characters
- Problem Frame10 words
- Leakage Flags1 word
- Train Validate Baseline140 words
- Train Validate Forest76 words
- Train Validate1 word
- Tune Evaluate Setup108 words
- Tune Evaluate1 word
- Residual Read26 words
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.