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Record W2054097401 · doi:10.1109/eem.2012.6254726

Challenges and opportunities of a trans-canadian grid

2012· article· en· W2054097401 on OpenAlexaffabout
Amir Kalantari, F.D. Galiana

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsMcGill University
Fundersnot available
KeywordsReliability (semiconductor)GridInterconnectionComputer sciencePower gridNetwork topologyPoint (geometry)Control (management)Reliability engineeringPower (physics)Operations researchEnvironmental economicsRisk analysis (engineering)Systems engineeringEngineeringTelecommunicationsBusinessComputer networkMathematics

Abstract

fetched live from OpenAlex

The paper reports on the potential challenges and opportunities of an electric power trans-Canadian grid (TCG). The report, which is the first stage of a broad research project on the TCG, identifies and examines the main issues from a qualitative view point and sets the stage for further quantitative analysis. The paper evaluates the competitive advantage of a TCG to meet established planning and operation norms such as cost and reliability as well as more topical criteria related to emissions control as a result of concerns over climate change. The proposed TCG would interconnect the provincial grids more tightly through one or a combination of possible topologies elaborated upon in the paper. The possible advantages of such a project are discussed in detail as are the expected barriers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.203
Teacher spread0.153 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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