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Record W3091942015 · doi:10.1109/jsyst.2020.3025202

Mobile Communications-Enabled Smart Grid Cosimulator System Design

2020· article· en· W3091942015 on OpenAlex
Kevin Shimotakahara, Medhat Elsayed, Melike Erol‐Kantarci, Karin Hinzer

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Systems Journal · 2020
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Security and Resilience
Canadian institutionsUniversity of Ottawa
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsComputer scienceCommunications protocolProtocol stackWirelessCommunications systemGridEmbedded systemReal-time computingDistributed computingSimulationComputer networkWireless sensor network

Abstract

fetched live from OpenAlex

In this article, we present a system design approach for a simulator constructed in MATLAB/Simulink used to simulate power systems and the underlying communication system, i.e., device-to-device (D2D) communication protocol stack of long-term evolution (LTE). Emphasis is placed on the characterization of the continuous time-discrete event (CT-DE) cosimulation interface used to develop this simulator. We model the mapping of communication links between D2D nodes as a bipartite digraph, and proceed to characterize the dynamics of information exchange between power system signals and LTE nodes using the discrete event specification formalism. The joint CT-DE dynamics were tested with a simple fault location, isolation, and restoration application. The results indicated that the control signal shifts in the power system simulator were synchronized with the appropriate LTE messaging dynamics.

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 score0.775
Threshold uncertainty score0.679

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 science0.0010.000
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 head0.032
GPT teacher head0.232
Teacher spread0.200 · 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