Greening the grid : powering Alberta's future with renewable energy
Bibliographic record
Abstract
The Government of Alberta released a statement in its 2008 provincial energy strategy that alternative and renewable energy sources will play a growing role in the province's energy future. This report provided an examination of the extent to which cleaner alternatives to coal, nuclear and other non-renewable resources could be deployed to meet Alberta's electricity consumption over the next 20 years, which is expected to be almost twice the current level of consumption. This report also provided background information on electricity generation in Alberta; a history of electricity in Alberta and electricity in Alberta today; and projecting future needs. The impacts of electricity generation were also presented as they relate to greenhouse gases; other pollution; water use; land use; flora and fauna; employment; and cost. Cleaning Alberta's grid from the perspective of improved efficiency was also examined. Specific renewable energy sources and their technological descriptions that were analysed included wind power; hydro; biomass; geothermal electricity; cogeneration for industry and buildings; recovered industrial energy; micropower; and virtual power plants. Several scenarios were offered, such as business as usual; pale green scenario; and the green scenario. It was recommended that the Government of Alberta assemble a task force or expert panel, analogous to those that have already been assembled to look at nuclear energy and carbon capture and storage, to examine the best ways of promoting renewable electricity. 23 tabs., 44 figs., 1 appendix.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".