SAGIPE: A real-time data acquisition system for the massive integration of wind generation in Hydro-Québec's power system
Bibliographic record
Abstract
Quebec has begun a decisive move toward wind energy with a series of wind farm projects totalling 4,000 MW in capacity. Hydro-Quebec Distribution, the distribution division of Hydro-Quebec, is putting in place a very large wind generation and weather data acquisition infrastructure. This infrastructure and its SAGIPE computer system feed both a massive historical data bank and multiple wind power generation short term forecasting engines to further the integration of this large amount of wind generation in the province's power system. The data bank permits running fruitful studies on the characterization of the wind generation and its impact on Hydro-Quebec's system. Wind generation forecasts are periodically transmitted to all participating parties, including independent wind power producers, Hydro-Quebec Production (Quebec's major hydro power producer), Hydro- Quebec Distribution's power procurement system and the province's transmission system operator.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".