MétaCan
Menu
Back to cohort
Record W2022319064 · doi:10.1109/ccece.2014.6900977

Simple mathematical model of photovoltaic module for simulation in Matlab/Simulink

2014· article· en· W2022319064 on OpenAlex
Irtaza M. Syed, Amirnaser Yazdani

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 institutionsToronto Metropolitan University
Fundersnot available
KeywordsDatasheetMATLABPhotovoltaic systemComputer scienceReliability (semiconductor)Simple (philosophy)SoftwareSimplicitySimulationElectronic engineeringEngineeringElectrical engineeringPower (physics)

Abstract

fetched live from OpenAlex

This paper presents modeling of a Photovoltaic (PV) module using Matlab/Simulink. The proposed model is simple, realistic, and application oriented. The model is being derived on module level as compared to cell level directly from the information provided by manufacturer data sheet for PV system simulations. The model accounts for changes in variations of both irradiance and temperature. The module proposed model is simulated and the results are compared with the datasheet projected numbers to validate model accuracy and effectiveness. The proposed model based 10 kW array, series parallel configuration of modules, is also simulated and validated. Implementation and results demonstrate simplicity and accuracy, as well as reliability of the model. Modelling concept presented in this paper can easily be extended and used in other software platforms.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.852
Threshold uncertainty score0.588

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 head0.030
GPT teacher head0.290
Teacher spread0.260 · 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