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Record W2105195953 · doi:10.1109/pesw.2002.985190

Energy operator for on-line tracking of voltage flicker levels

2003· article· en· W2105195953 on OpenAlex
T.K. Abdel-Galil, Ehab F. El‐Saadany, M.M.A. Salama

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

Venue2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309) · 2003
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFlickerVoltageTracking (education)Control theory (sociology)Computer scienceNonlinear systemCompensation (psychology)Energy (signal processing)Electronic engineeringOperator (biology)Track (disk drive)EngineeringElectrical engineeringMathematicsArtificial intelligencePhysicsControl (management)

Abstract

fetched live from OpenAlex

Deregulation has emphasized the necessity for new schemes, which are capable of tracking and mitigating voltage disturbances due to nonlinear loads. This paper introduces a new approach to track the voltage flicker levels in distribution systems, which is produced by large nonlinear loads like arc furnaces. The new tactic depends on an innovative technique for voltage disturbance tracking, which utilizes the Teager Energy Operator (TEO). This paper discloses that the TEO is capable of tracking the amplitude variations of the flicker voltage in industrial systems. Results are presented to validate and verify the tracking capability of TEO and to indicate superior performance of TEO to track voltage flicker.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.039
GPT teacher head0.249
Teacher spread0.210 · 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