Selbstgesteuertes Projekt
Energy and Renewable: Machine Learning for the Power Grid
Junior Machine Learning Engineer · KI / ML · August 2026
Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis
Built a leakage-aware turbine yield predictor end to end: framed TEY as the target, used only the eight legitimate ambient and turbine sensor inputs, and excluded CO/NOx because they are downstream emissions not available at prediction time. Compared a LinearRegression baseline with a RandomForest on a chronological hold-out set, reported held-out MAE/RMSE/R², and documented limitations, drift monitoring, and deployment use in a concise model card.
Bewertet nach
- Build and validate the model correctly35%
- Optimize and evaluate honestly25%
- Write the Model Card (clarity + honesty)25%
- Explain it to a non-expert15%
Bestanden · Bestehensgrenze 60/100
Was herausstach6
- Correctly excluded CO and NOx as downstream emissions that would not be available at prediction time
- Used a time-based split with earlier years for training and later years for testing
- Reported held-out MAE, RMSE, and R² and interpreted residual behavior instead of only quoting a headline score
- Wrote a model card that clearly states intended use, limitations, and a concrete monitoring plan
- Leakage-Free Feature Selection
- Chronological Hold-Out Evaluation
Meine eingereichte Arbeit20 Aufgaben
12 Aufgaben · 13 Zeilen · Python, JavaScript · 8 Textantworten · 501 Wörter
- Problem Frame195 Zeichen
- Leakage Flags113 Zeichen
- Train Validate BaselinePython · 1.4k Zeichen
- Train Validate Forest944 Zeichen
- Tune Evaluate ResidualsPython · 2 Zeilen
- Residual Read455 Zeichen
- Train Validate124 Zeichen
- Tune Evaluate SetupPython · 1.5k Zeichen
- Tune Evaluate132 Zeichen
- Drift Monitor94 Zeichen
- Model Card2.5k Zeichen
- Teach BackJavaScript · 816 Zeichen
- Problem Frame14 Wörter
- Leakage Flags1 Wort
- Train Validate Baseline141 Wörter
- Train Validate Forest76 Wörter
- Tune Evaluate Residuals92 Wörter
- Residual Read66 Wörter
- Train Validate1 Wort
- Tune Evaluate Setup110 Wörter
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