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Record W2111539613 · doi:10.1109/ccece.2004.1345317

Development of a MPPT method for photovoltaic systems

2004· article· en· W2111539613 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

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsMaximum power point trackingPhotovoltaic systemControl theory (sociology)Nonlinear systemMaximum power principleComputer sciencePerturbation (astronomy)Point (geometry)Power (physics)Mathematical optimizationMathematicsEngineeringControl (management)PhysicsArtificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

In the algorithms found in the literature for finding the optimum point of operation MPPT ( maximum power point tracking), of photovoltaic (PV) modules, the initial reference value is fixed arbitrarily and without constraints. This reduces the performance of research into the optimal operation point of PV systems. In order to improve this performance, a MPPT method based on a nonlinear approach is proposed for estimation of the initial value of the reference. The combination of this approach with the perturbation and observation (P and O) method has enabled progress to be made in the search for the optimal operation point of the PV system.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.187
Threshold uncertainty score0.547

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 head0.028
GPT teacher head0.300
Teacher spread0.272 · 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