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Record W2166444588 · doi:10.1109/icoin.2011.5723144

A survey of technical requirements and consumer application standards for IP-based smart grid AMI network

2011· article· en· W2166444588 on OpenAlexaff
Jun Wang, Victor C. M. Leung

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Security and Resilience
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSmart gridInteroperabilityComputer scienceNISTComputer securityGovernment (linguistics)TelecommunicationsSystems engineeringEngineeringWorld Wide WebElectrical engineering

Abstract

fetched live from OpenAlex

The smart grid is a new advanced electrical network promoted by the government to address environmental sustainability, energy generation, distribution and consumption efficiency issues. As one of the enabling technologies, Advanced Metering Infrastructure refers to systems which measure, collect and analyze energy usage, and interact with advanced devices such as smart meters through various communication media either on request or on pre-defined schedules. This paper focuses on proposing the technical requirements imposed on the communications network for AMI. Then we examine each of the proposed AMI consumer application standards found in open literature based on these requirements. We will discuss the system engineering approach taken by NIST/EPRI to develop standards for smart grid and AMI and highlight outstanding security and interoperability issues concerned for deploying smart grid AMI. We compare the performances of consumer application standards in addressing these open issues. Finally, we conclude and propose our future work.

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.

How this classification was reachedexpand

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.724
Threshold uncertainty score0.271

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 integrity0.0000.000
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 head0.034
GPT teacher head0.263
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations55
Published2011
Admission routes1
Has abstractyes

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