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Record W1739725004

Well-being reliability worth indices due to different customer outage cost functions

2007· article· en· W1739725004 on OpenAlex
L. Goel, Rajiv Gupta

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Power Engineering Conference · 2007
Typearticle
Languageen
FieldEngineering
TopicPower System Reliability and Maintenance
Canadian institutionsnot available
Fundersnot available
KeywordsReliability engineeringReliability (semiconductor)Probabilistic logicElectric power systemMarginal costService (business)Computer scienceRisk analysis (engineering)EngineeringOperations researchPower (physics)EconomicsBusinessMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

The evaluation of the costs and benefits of competing investments is a standard practice in power system planning. Customer outage costs, which serve as surrogates for the perceived worth of supply reliability, have been determined, among others, for several provinces and countries as diverse as Canada, United Kingdom, Nepal and Thailand. This paper uses the well-being framework to evaluate the societal worth of electric service reliability in subtransmission systems associated with the outage cost functions of the above four systems. System well-being is defined in terms of the system being in the healthy, marginal, and at risk states, hence combining the deterministic and probabilistic approaches into a single framework. Reliability worth indices such as expected cost of interruptions (ECOST) and interrupted energy assessment rate (IEAR) are evaluated. The concepts are illustrated by application to a small but comprehensive reliability test system designated RBTS.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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