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Record W1878529603 · doi:10.1109/ccece.1995.526296

A review of capacitor placement techniques for loss reduction in primary feeders on distribution systems

2002· review· en· W1878529603 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

Venuenot available
Typereview
Languageen
FieldEngineering
TopicOptimal Power Flow Distribution
Canadian institutionsTechnical University of Nova Scotia
Fundersnot available
KeywordsReduction (mathematics)CapacitorPrimary (astronomy)Computer scienceElectrical engineeringElectronic engineeringEngineeringPhysicsVoltageMathematics

Abstract

fetched live from OpenAlex

The application of capacitors to electric power systems can be used for: (1) the control of power flow; (2) the improvement of stability; (3) voltage profile management; (4) power factor correction; and (5) loss minimization. The application of capacitors for loss minimization has been of interest to distribution engineers for several years, and as such a variety of techniques and procedures have been devised. This paper presents a review of techniques and procedures of capacitor application for loss minimization, spanning three decades. The procedures determine the location size and quantity of capacitors to be allocated to distribution primary feeders subject to a variety of constraints, most importantly minimization of losses.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.029
GPT teacher head0.282
Teacher spread0.254 · 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

Citations35
Published2002
Admission routes1
Has abstractyes

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