Appraisal of IEC standards for wave and tidal energy resource assessment
Bibliographic record
Abstract
This paper describes research in progress for which the main objective is to appraise the new IEC technical specifications (TS) for assessment of wave and tidal energy resources through pilot application of the procedures set forth therein to sites in the Bay of Fundy and off the west coast of Vancouver Island. The new IEC TS for tidal current resource assessment is being appraised through application to the FORCE project site located near the north shore of Minas Passage in the upper Bay of Fundy, Canada. In parallel, the new IEC TS for wave energy resource assessment is being appraised through application to the waters off the west coast of Vancouver Island, British Columbia, Canada. In both cases, the accuracy of the resulting resource estimates is being assessed through comparison with direct measurements obtained using ADCP units and directional wave buoys. Moreover sensitivity analyses are being undertaken to determine the main sources of error and uncertainty impacting the precision of resource assessments conducting following the IEC methodologies. Preliminary results indicate that the new IEC technical specifications can be applied with a moderate level of effort to develop reasonable estimates of tidal and wave energy resources.
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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 | 0.053 | 0.075 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".