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Record W2113254970 · doi:10.1109/epec.2010.5697222

Stationary applications of energy storage technologies for transit systems

2010· article· en· W2113254970 on OpenAlex

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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRailway Systems and Energy Efficiency
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFlywheelEnergy storageTransit (satellite)Flywheel energy storageComputer scienceSystems engineeringEmerging technologiesEngineeringTransport engineeringAutomotive engineeringPublic transport

Abstract

fetched live from OpenAlex

Stationary energy storage technologies can improve the efficiency of transit systems. In this paper, three different demonstrations of energy storage technologies for transit systems were reviewed and discussed. The demonstrations reviewed were a sodium sulphide battery system in Long Island, a flywheel system for the London Underground, and a capacitor system for Madrid de Metro. Analysis was conducted from the point of view of a transit agency evaluating these demonstrations for practical lessons learned, effectiveness of the installation, and return on investment. Each installation showed that their technology was successful in their task and also provided valuable lessons on the challenges of implementing new technologies. Information from independent sources about longer demonstrations would be particularly valuable to help accelerate acceptance of energy storage technologies for transit systems.

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)0.000
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: none
Teacher disagreement score0.981
Threshold uncertainty score0.224

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 head0.005
GPT teacher head0.189
Teacher spread0.184 · 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

Quick stats

Citations47
Published2010
Admission routes1
Has abstractyes

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