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Record W2742377271 · doi:10.1109/cjece.2017.2694698

On the Impact of High Penetration of Rooftop Solar Photovoltaics on the Aging of Distribution Transformers

2017· article· en· W2742377271 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Electrical and Computer Engineering · 2017
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsPhotovoltaicsPenetration (warfare)TransformerMonte Carlo methodEnvironmental scienceMaterials scienceDistribution transformerThermalPhotovoltaic systemNuclear engineeringEngineeringElectrical engineeringPhysicsMeteorologyMathematicsStatisticsVoltage

Abstract

fetched live from OpenAlex

This paper investigates the effect of increasing the penetration of Rooftop Solar Photovoltaics (PVs) on a Distribution Transformer's (DT's) Loss of Life (LOL). The modeling of the secondary distribution system is introduced and the Markov chain Monte Carlo is used to probabilistically estimate the hourly loading on a DT while the LOL is estimated based on the DT's thermal model. The results have shown that the minimum impact on the DT's LOL may be only achieved at 60% penetration of PVs that can be considered as the maximum permissible solar PVs penetration level.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.916

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 head0.009
GPT teacher head0.205
Teacher spread0.197 · 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