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Record W4221027858 · doi:10.18280/ejee.240107

Algeria's Satisfaction of the Valorization the Wind Energies Exploitation in Southern Algeria (KABERTEN Region) in Order to Produce Electrical Energy

2022· article· en· W4221027858 on OpenAlexvenueno aff
Zeynab Cherki, Mohamed Nasser Tandjaoui, Mebrouk Sellam

Bibliographic record

VenueEuropean Journal of Electrical Engineering · 2022
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyWind powerFossil fuelOrder (exchange)Environmental scienceClean energyGeographyEnvironmental protectionNatural resource economicsBusinessEngineeringEconomics

Abstract

fetched live from OpenAlex

Algeria is a country rich in fossil fuels, we can say that the energy future in this country looks secure. On the other hand, this abundance is addictive, Algeria and the importance of its geographical location is one of the countries that absorbs the most solar radiation when the renewable energy and energy efficiency program was implemented in 2011. The windiest areas are located in the southern region of Algeria. Based on this, we will discuss in this article the geographical identification of the Kaberten region and present the qualifications that made it a suitable location for the establishment of the wind field. We will also discuss the type of wind turbine used in the station and display curves showing the electrical energy generated over a period of two years. Finally, we conclude to what extent this project contributes to sustainable development, if the expansion is known to increase the amount of energy generated from clean sources.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.744
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
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 head0.008
GPT teacher head0.187
Teacher spread0.180 · 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
Published2022
Admission routes1
Has abstractyes

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