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Record W6982312362

Identification en ligne pour la gestion d'énergie des systèmes multi-stacks = Online identification for energy management of multi-stack systems

2018· dissertation· fr· W6982312362 on OpenAlexfundno aff

Bibliographic record

Venuee-Theses (Université du Québec à Trois-Rivières) · 2018
Typedissertation
Languagefr
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsnot available
FundersFondation de l’UQTRMitacsUniversité du Québec à Trois-Rivières
KeywordsLigneElectric energyEnergy distributionOperation planning
DOInot available

Abstract

fetched live from OpenAlex

Vilau Chapitre 2, un modle mathmatique de batterie et quatre convertisseurs de courant continu.Afin d'tudier la performance de la stratgie propose, trois scnarios diffrents ont t conus.Dans le premier scnario, un profil de puissance de rampe a t utilis pour montrer clairement la diffrence entre la distribution de la puissance entre les sources par les trois stratgies.Le deuxime scnario traite de l'valuation des performances des stratgies tout en utilisant un vrai profil de conduite du vhicule Nmo.Enfin, le dernier scnario a t conu en utilisant un trs long profil de puissance alatoire pour valuer le taux de dgradation des P ACs.Les rsultats de la stratgie propose indiquent une amlioration prometteuse de la performance globale du systme et un accroissement de la dure de vie du systme en rduisant le temps de fonctionnement du FC avec un taux de dgradation plus lev comme le montre la Figure 3.15.

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.

How this classification was reachedexpand

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.560
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
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.024
GPT teacher head0.248
Teacher spread0.224 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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