MétaCan
Menu
Back to cohort
Record W2049923499 · doi:10.1109/lescpe.2007.4437394

Radial Distribution System Analysis using Data Structure in MATLAB Environment

2007· article· en· W2049923499 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
Typearticle
Languageen
FieldEngineering
TopicOptimal Power Flow Distribution
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMATLABComputer scienceNumberingProcess (computing)Incidence matrixCode (set theory)Node (physics)Matrix (chemical analysis)Data structureTopology (electrical circuits)Program codeParallel computingAlgorithmComputational scienceComputer hardwareEngineeringOperating systemProgramming language

Abstract

fetched live from OpenAlex

This paper presents a new approach to the radial distribution system (RDS) analysis. The proposed algorithm makes use of data structure (DS) in a MATLAB programming environment. It avoids the use of unique lateral node and branch numbering process that is otherwise required. The proposed method forms a Bus Incidence Matrix (BIM) which is then processed to create a DS. The DS and MATLAB code for its formulation and the analysis of a RDS is presented. A number of examples have been considered which have been successfully solved. The performance of this method is detailed. Additionally, as this DS is dynamically declared and alterable, it can handle rapidly changing topology of RDS.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.536

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 head0.012
GPT teacher head0.224
Teacher spread0.211 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicOptimal Power Flow DistributionFrench-language works237,207