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Record W1983187427 · doi:10.1109/pesgm.2012.6344970

EMS real time model enhancement and performance validation using archived telemetry and historical events data

2012· article· en· W1983187427 on OpenAlexfundno aff
Fawad Ahmad, M. Abdullah Nayeem, H. Presume

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsnot available
FundersEMS Ingénierie
KeywordsComputer scienceTelemetryData modelingEnergy management systemModel validationReliability engineeringData model (GIS)Real-time computingSystems engineeringEngineeringEnergy (signal processing)Energy managementDatabaseTelecommunicationsArtificial intelligence

Abstract

fetched live from OpenAlex

This paper presents the experiences in enhancement of Energy Management System (EMS) real time model, development and implementation of an application, and methodologies to validate the EMS model at Vermont Electric Power Company (VELCO), a `transmission only' company in Vermont and a Local Control Center (LCC) for Independent System Operator in New England (ISO-NE). Methodology is developed for comprehensive model enhancement with integrated and iterative validation processes based on data from Common Information Model (CIM) of ISO-NE, neighboring areas, engineering and planning model data. An application is developed based on a scheme to validate the model and its results using archived data and historical events. Test cases are developed to validate the model and model results, indicating the improvement achieved with the model validation practice and in determining model accuracy. In addition resourcefulness of validation as an aid for system tuning and studies is also presented.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.983
Threshold uncertainty score0.256

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 head0.061
GPT teacher head0.247
Teacher spread0.185 · 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 designSimulation or modeling
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
Published2012
Admission routes1
Has abstractyes

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