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Record W1577405668

Study of a novel buck-boost inverter for photovoltaic systems

2008· article· en· W1577405668 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

VenueInternational Conference on Electrical Machines and Systems · 2008
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPhotovoltaic systemInverterComputer scienceBuck–boost converterMaximum power point trackingFlyback transformerBuck converterGrid-tie inverterVoltageGridElectronic engineeringSolar micro-inverterElectrical engineeringBoost converterEngineeringTransformerMathematics
DOInot available

Abstract

fetched live from OpenAlex

For inverter-based photovoltaic(PV) systems in grid-connected applications as distributed generators(DG), variable sources often cause wide changes in the inverter input voltage above and below the output voltage, thus demanding a buck-boost operation of inverters. Many traditional full-bridge buck inverters, two-stage inverters, single-stage buck-boost inverters either have complex structure or have limited range of input voltage. The authors have proposed and developed an innovative single-phase, single-stage, flyback-based, buck-boost inverter for renewable energy systems, especially for PV systems in grid-connected applications. This paper focuses on the analysis of the working principles, computer simulation of the operation, and design consideration of the inverter for grid-connected applications.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.641

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 head0.081
GPT teacher head0.283
Teacher spread0.202 · 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