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Record W2164399519 · doi:10.1109/pes.2006.1709562

Electromagnetic transient simulation of power electronic equipment in power systems: challenges and solutions

2006· article· en· W2164399519 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

Venue2006 IEEE Power Engineering Society General Meeting · 2006
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsNatural Sciences and Engineering Research CouncilUniversity of Manitoba
Fundersnot available
KeywordsTransient (computer programming)Computer scienceInterpolation (computer graphics)Power electronicsPower (physics)ElectronicsLimit (mathematics)Component (thermodynamics)Electric power systemSemiconductor deviceElectronic engineeringElectrical engineeringEngineeringTelecommunicationsVoltage

Abstract

fetched live from OpenAlex

The panel presentation identities requirements for electromagnetic transient simulation programs for simulating large power networks with embedded power electronics. Interpolation based simulation and other methods are discussed which provide precision in simulation of semiconductor switching events without a corresponding penalty in computer time. A method for accurately estimating power semiconductor losses without significant increase in the simulation time is discussed. The use of simulation in design requires multiple runs to explore a wide range of operating scenarios and component tolerances. Intelligent methods, including those based on nonlinear optimization limit the these runs to the most promising areas of the parameter space and considerably reduce the design cycle time

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.007
GPT teacher head0.195
Teacher spread0.188 · 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