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Record W2599564054 · doi:10.18034/ei.v4i2.188

A Way to Unlock The Electricity Energy Market for The Common People Using CP Model

2016· article· en· W2599564054 on OpenAlexaff
Md. Maidul Islam, Alimul Haque Khan, Md. Aman Khan

Bibliographic record

VenueEngineering International · 2016
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Energy Management
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsElectricityElectricity marketBusinessElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

The electricity energy market is almost locked for the people. The trade of electric energy is defined as electricity energy market. In most of the countries, trade of kWh by the people is found very rare practice unlike other businesses. However, business related with energy and power equipment may be accomplished by individual if ones want. On the other hand, selling the kWh is somehow difficult. Few possible reasons that create resistance for a person to enter into electricity energy market such as the large size of power station, higher initial cost and lengthy procedures. This paper discusses the states the power of electricity market and proposes a way to unlock electricity energy market for people using CP (Consumer Producer) model. A way to widen the entry of electricity market may be the minimization of the size of the power station into very small unit which will have lower initial cost, quick as well as easy installation.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.971
Threshold uncertainty score0.347

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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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