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Transmission System Usage Amount Planning by Brazilian Distribution Utilities

2023· article· en· W4389077710 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
FieldEngineering
TopicOptimal Power Flow Distribution
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInefficiencyComputer sciencePeak demandContext (archaeology)Transmission systemWork (physics)Transmission (telecommunications)Operations researchDemand forecastingLinear programmingDistribution (mathematics)Mathematical optimizationReliability engineeringElectricityTelecommunicationsEngineeringEconomicsElectrical engineeringMicroeconomicsMathematics

Abstract

fetched live from OpenAlex

The increase of distributed generators and energy storage devices in modern distribution systems impacts the demand provided by the distribution utility and, hence, the techniques employed to determine the Transmission System Usage Amount at the border with the transmission system. If the contracted demand is violated, the utility must pay inefficiency charges. The complexity of this new reality is the stochastic characteristics associated with the new devices installed at medium and low voltage levels. In this context, this work proposes a methodology composed of a linear programming model to determine the demand to be contracted by the distribution utility. This work incorporates the problem uncertainties by integrating historical data and demand forecasting from the distribution utility and the Brazilian Energy Research Company. The developed methodology obtained a 1.5% error compared to the contracted demand which would lead to the minimum annual demand cost when applied to a Brazilian 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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score0.662

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 head0.222
Teacher spread0.214 · 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

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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