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Record W2041818989 · doi:10.1109/tsg.2013.2284760

A Novel Current Sensor for Home Energy Use Monitoring

2014· article· en· W2041818989 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

VenueIEEE Transactions on Smart Grid · 2014
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Energy Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsElectrical conductorElectrical engineeringCurrent sensorElectronic engineeringConductorWireless sensor networkTracking (education)CalibrationPower (physics)EngineeringEnergy (signal processing)Magnetic fieldCurrent (fluid)Computer scienceReal-time computingMaterials sciencePhysics

Abstract

fetched live from OpenAlex

This paper presents a novel magnetic sensor array based technique for measuring currents in a group of enclosed conductors. It is designed specifically for monitoring the real-time power consumptions of North American homes. The technique consists of three key components: magnetic field sensors deployed in close proximity of the power conductors to be measured; algorithms to compute the conductor currents based on the magnetic fields measured; a simple, integrated sensor calibration and communication scheme. Prototype devices have been developed based on the technique. Extensive lab and field tests have demonstrated that the technique can provide adequate current measurements for residential homes. Combining with the non-intrusive load monitoring methods, the proposed measurement technique represents an attractive platform to create a complete home energy use tracking system.

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 categoriesMeta-epidemiology (narrow)
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 score0.968
Threshold uncertainty score1.000

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 head0.028
GPT teacher head0.228
Teacher spread0.200 · 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