Hydro One GMD Preparedness Plan for Cycle 24 Presented at: EPRI/NERC Geomagnetic Disturbance Analysis Workshop
Bibliographic record
Abstract
This document describes the preparedness plan that Hydro One is implementing to manage the effects of Geomagnetic Disturbances. This effort has built on more than 25 years of in-house experience as well as cooperative efforts with the Geomagnetic Laboratory of NRCAN and the University of Western Ontario. The plan calls for an expanded GIC monitoring network, software tools to assess the distribution of GIC and its effects on major power equipment in the Hydro One 230 kV and 500 kV networks in real time, and off-line analysis tools that integrate load flow analysis with GIC simulations. All these tools and greater visibility into the effects of any given storm will converge into operating measures to protect Hydro One’s assets, and ultimately in coordination with the IESO, the security and reliability of supply in the Province of Ontario.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".