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Record W1964732767 · doi:10.1109/pesmg.2013.6672692

The effects of renewable energy resources on the implementation of Distributed Resources Islanded Systems

2013· article· en· W1964732767 on OpenAlex
Hany E. Z. Farag, Morad Abdelaziz, Ehab F. El‐Saadany

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIslanding Detection in Power Systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsProbabilistic logicIslandingRenewable energyComputer scienceDistributed generationReliability engineeringRenewable resourceReliability (semiconductor)Penetration (warfare)Distributed computingOperations researchEngineeringPower (physics)Electrical engineering

Abstract

fetched live from OpenAlex

This paper assesses the impacts of the penetration level of renewable energy resources on the successful implementation of Distributed Resources (DR) Islanded Systems. A probabilistic analytical approach has been developed to facilitate the proposed study. The probabilistic approach takes the special features and operational characteristics of DR islanded systems in islanded mode. The probability of successful islanding and the corresponding load points reliability indices have been calculated at different penetration levels of renewable energy resources. Simulation studies have been carried out to verify the effectiveness of the proposed probabilistic approach.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.999

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 head0.004
GPT teacher head0.190
Teacher spread0.186 · 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

Quick stats

Citations5
Published2013
Admission routes1
Has abstractyes

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