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Record W106711868 · doi:10.1109/mpae.2007.376583

Microgrids

2007· article· en· W106711868 on OpenAlexaffabout
Nikos Hatziargyriou, Hiroshi Asano, Reza Iravani, Chris Marnay

Bibliographic record

VenueIEEE Power and Energy Magazine · 2007
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Toronto
FundersNational Technical University of AthensUniversity of Tokyo
KeywordsMicrogridDistributed generationIslandingDistributed power generationGridContext (archaeology)Computer scienceRenewable energySmart gridEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

This article outlines the ongoing research, development, and demonstrates the microgrid operation currently in progress in Europe, the United States, Japan, and Canada. The penetration of distributed generation (DG) at medium and low voltages is increasing in developed countries worldwide. Microgrids are entities that coordinate DERs (distributed energy resources) in a consistently more decentralized way, thereby reducing the control burden on the grid and permitting them to provide their full benefits. In the context of this article, a microgrid comprises a LV locally-controlled cluster of DERs that behaves, from the grid's perspective, as a single producer or both electrically and in energy markets. A microgrid operates safely and efficiently within its local distribution network, but it is also capable of islanding.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0300.013

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 head0.003
GPT teacher head0.176
Teacher spread0.173 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations2,474
Published2007
Admission routes2
Has abstractyes

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