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Record W4233901756 · doi:10.23952/jano.1.2019.3.11

A fractional derivative approach to modelling a smart grid-off cluster of houses in an isolated area

2019· article· en· W4233901756 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

VenueJournal of Applied and Numerical Optimization · 2019
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsnot available
FundersEuropean Regional Development Fund
KeywordsMicrogridBattery (electricity)Computer scienceEnergy managementEnergy storageMathematical optimizationSmart gridInteger programmingGridProduction (economics)Linear programmingPower (physics)Energy (signal processing)Electrical engineeringEngineeringRenewable energyMathematicsAlgorithm

Abstract

fetched live from OpenAlex

This paper presents an operational model of an electrical power supply in order to meet the load of a cluster of houses in a remote mountainous area. In outlying areas, an isolated power network represents the most economical solution. However, the implementation of a cluster of houses in an electrical microgrid requires optimal management of the power supply-demand in order to reach the users' requirements. Our case study is located in the "Cirque de Mafate" in Reunion Island. To build the model, the different types of individual consumption and the available energy production in situ are described. Energy management is achieved through a large mixed integer linear programming system. The model allows the production to fit the consumption by minimizing losses. Numerical calculations have been performed in order to determine an optimal solution that minimizes the use of the battery energy storage system and also satisfies the comfort of the inhabitants. The use of fractional derivative is introduced in the battery storage model. Simulations show that this emerging technology may lead to a technical solution that meets the above requirements of battery energy use and consumer satisfaction. It is also shown that a most effective and efficient use of energy resources is required in order to achieve sustainable management of electrical energy.

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: none
Teacher disagreement score0.805
Threshold uncertainty score0.401

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 head0.008
GPT teacher head0.191
Teacher spread0.182 · 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