An energy systems modelling approach for the planning of power generation: a North American case study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Due to Saskatchewan's growing energy demands, the public's environmental concerns and the decommissioning of existing coal-fired facilities, the province will need to construct new electric generating facilities with high economic performance and lower emission levels. New facilities will not only affect the consumption of primary energy but also the level of greenhouse gas (GHG) emissions of which the province's electricity sector is a major contributor. This study aims to explore potential power generation technologies and to evaluate the economic and environmental performance of Saskatchewan energy system within a long-term energy planning framework (1988 to 2032). One reference case and three scenarios were analysed. Recommendations of strategies to achieve the lowest GHG emission from power generation are provided based on the modelling results. The proposed modelling approach can be extended to national or regional level for supporting the planning of power generation and other energy activities in a long- or short-term framework.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it