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Record W2990579768 · doi:10.18280/ejee.210510

Photovoltaic Array Reconfiguration under Partial Shading Based on Integer Link Matrix and Harmony Search

2019· article· en· W2990579768 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Journal of Electrical Engineering · 2019
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsnot available
Fundersnot available
KeywordsControl reconfigurationShadingPhotovoltaic systemHarmony searchHarmony (color)Matrix (chemical analysis)Computer scienceMathematicsPhysicsMathematical optimizationEngineeringOpticsMaterials scienceElectrical engineeringEmbedded system

Abstract

fetched live from OpenAlex

This paper mainly reconfigures a total cross tied (TCT) photovoltaic array (PA) under partial shading, aiming to maximize the power output based on irradiance mismatch index (IMI). First, the positions of the PV modules in the array were represented as an integer link matrix. The binary value of each integer in the matrix stands for the new position of each PV module in the array. Next, the harmony search (HS) was coupled with the integer link matrix to minimize the IMI. Then, the proposed reconfiguration method was compared with several famous techniques through case studies. The results show that the integer link matrix achieved the best reconfiguration pattern for each case, and the HS outperformed all the contrastive metaheuristic algorithms. The research findings shed important new light on PV power generation under partial shading.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.636
Threshold uncertainty score0.622

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 integrity0.0000.001
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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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