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Record W1975580372 · doi:10.1109/intlec.2010.5525655

A Hybrid Renewable Energy System for powering Information and Communication Technology (ICT)

2010· article· en· W1975580372 on OpenAlexaff
Hamid Reza Karshenas, Masoud Karimi-Ghartemani, D. Yazdani, S. Ali Khajehoddin, Marzia Zaman, Alireza Bakhshai, Praveen Jain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsQueen's University
Fundersnot available
KeywordsRenewable energyExploitModularity (biology)Computer scienceReliability (semiconductor)Mode (computer interface)Information and Communications TechnologyGridCommunications systemPower (physics)Distributed computingTelecommunicationsElectrical engineeringEngineeringOperating systemComputer security

Abstract

fetched live from OpenAlex

This paper is concerned with Hybrid Renewable Energy System (HRES) for energizing critical and sensitive loads in Information and Communication Technology (ICT) where the reliability is the first priority. As easy expandability and modularity are other objectives of the design, common ac bus structure is selected for this application. The ac power sharing is based on wireless control scheme, which makes future system expansion with minimum technical complexity. The renewable energy sources work in MPPT at all the time during grid-connected mode in order to exploit the green energy and maximize the revenue in case of excess energy. During standalone mode, the system has to enter power sharing mode. Simulation results are shown to explain the basic operation of system in this mode.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.173
Teacher spread0.170 · 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 designBench or experimental
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

Citations5
Published2010
Admission routes1
Has abstractyes

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