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Record W4319264300 · doi:10.36227/techrxiv.21990410.v1

Distributed Energy Resources, Transmission Power System Control, Energy Transition: An Exploratory Bibliometric Analysis

2023· preprint· en· W4319264300 on OpenAlexafffund
Hussein Suprême, Nivine Abou Daher, Martin De Montigny, Annissa Heniche Oussedik

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicSmart Grid Security and Resilience
Canadian institutionsHydro-Québec
FundersHydro-Québec
KeywordsContext (archaeology)Computer scienceElectric power systemReliability (semiconductor)Distributed generationElectricitySystems engineeringReliability engineeringPower (physics)Renewable energyEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

Energy transition is promoted by the international and scientific community to reduce society’s carbon footprint and fight against climate change. In this context, power systems are increasingly equipped with distributed energy resources (DER) and variable energy resources (VER). Because of the variability introduced by these resources and power electronics converters, serving as the interface between them and AC power system, power systems operators are facing more challenges to maintain network reliability. Even if most of DERs are connected to distribution system, their integration will also impact the transmission system behavior. Furthermore, the utilities must ensure a better coordination and communications of the actions taken by the transmission system operator (TSO) and distribution system operator (DSO). In the context of end-to-end electricity system transition, development, and integration, the main objective of this transversal study is to analyze the content of published work. The aim is to target the new challenges to solve in order to maintain the reliability of the transmission and distribution power systems. The analysis is based on a bibliometric study of the Scopus database for published documents from 2011 to 2020. By using of statistical methods, a quantitative analysis is done on the one hand to highlight the evolution of science in this specific research area and on the other hand to identify current and future trends and challenges.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaBibliometrics
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptBibliometrics
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Other designhigh
models splitAgreement compares identical category sets and study designs across arms.

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 categoriesMeta-epidemiology (narrow), Bibliometrics
Consensus categoriesBibliometrics
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 score0.972
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0460.081
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.013
GPT teacher head0.211
Teacher spread0.198 · 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

Labeled directly by 2 models reading the full record.

Bibliometrics

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Other design
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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same topicSmart Grid Security and ResilienceCategoryBibliometricsFrench-language works237,207