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Record W3137894552 · doi:10.59627/cbens.2020.845

AVALIAÇÃO DE MÉTODOS DE ESTIMAÇÃO DE PERDAS ASSOCIADAS AO MATERIAL DE FABRICAÇÃO E ESTRUTURA DE MÓDULOS FOTOVOLTAICOS

2020· article· pt· W3137894552 on OpenAlexaboutno aff
Wyara Maria Carlos Souza Pontes, Ligia Maria Carvalho Sousa Cordeiro

Bibliographic record

VenueAnais Congresso Brasileiro de Energia Solar · 2020
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

O desempenho dos geradores fotovoltaicos é bastante influenciado pelas condições ambientais de temperatura e radiação, e pelas características dos materiais que compõem os módulos fotovoltaicos. A literatura dispõe de modelos matemáticos que permitem estimar o comportamento dos módulos mediante estas influências. Nesse contexto, o presente trabalho propõe estudar técnicas de estimação das perdas relacionadas ao material de fabricação dos módulos para o modelo de um diodo e uma resistência. O objetivo do estudo é analisar qual técnica melhor descreve as perdas fotovoltaicas de acordo com as especificações e dados experimentais disponibilizados pelo fabricante. O módulo selecionado para o estudo foi o MaxPower CS6U da marca Canadian Solar, o qual está sendo utilizado em uma usina de minigeração instalada no Campus das Auroras da Universidade da Integração Internacional da Lusofonia Afro-Brasileira.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.257
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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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