MétaCan
Menu
Back to cohort
Record W4312368107 · doi:10.33322/energi.v13i2.1556

Penambahan DGR (Directional Ground Relay) Pada Recloser Untuk Menurunkan SAIDI / SAIFI DI ULP Lamongan

2021· article· en· W4312368107 on OpenAlex

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

VenueEnergi & Kelistrikan · 2021
Typearticle
Languageen
FieldEngineering
TopicVehicle License Plate Recognition
Canadian institutionsPositive Living North
Fundersnot available
KeywordsRecloserEngineeringRelayReliability (semiconductor)Electrical engineeringReliability engineeringPhysicsCircuit breaker

Abstract

fetched live from OpenAlex

The purpose of adding a DGR Relay to the Recloser is to improve the performance of the Recloser so that the network reliability value expressed by Saidi and Saifi is better. At ULP Lamongan, in general the protection on the installed Recloser is OCR and GFR relays. In systems with high resistance grounding, the performance of the recloser is not optimal, so it is necessary to add a DGR relay. The implementation of adding a DGR Relay to the Recloser at the Lamongan Customer Service Unit can reduce SAIDI by 86% and decrease SAIFI value by 58%.

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), Insufficient payload (model declined to judge)
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 score0.479
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.192
Teacher spread0.184 · 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