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The Study for the Obstacles and Countermeasures in China Electric Power New Energy Development FREINS DANS DEVELOPPEMENT DES NOUVELLES ENERGIES ELECTRIQUES EN CHINE ET SOLUTIONS

2010· article· fr· W1933644620 on OpenAlexvenueno aff
Yuanying Chi, Shaojie Zhang, Jingwen Li

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languagefr
FieldEngineering
TopicIntegrated Energy Systems Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesRenewable energyChinaEngineeringPhilosophyElectrical engineeringLaw

Abstract

fetched live from OpenAlex

Our government has prospectively realized the strategic sense for developing the renewable energy source, and released some necessary laws and regulations promulgated one after another, As the future energy development direction, the renewable energy source still have some insufficiencies in the initial development period, they are eager for quick success and instant benefits, so some forceful measures should be taken to urge the its development orderly and rationalized. This article conducts the preliminary research for the new energy development problem, and further proposed the corresponding countermeasures, thus to provide certain references for our national developmental strategy further study. Key words: New renewable energy sources (new energy), wind power, obstacles and countermeasures Resume: Le gouvernement chinois a apercu la signification strategique du developpement des energies renouvelables, ou des nouvelles energiesautrement dit, et a fait des lois et regles correspondantes. Pourtant, en tant que la perspective du developpement des energies, les energies renouvelables ont connu des problemes dans la premiere phase du developpement. Il existe des phenomenes d’agir avec trop de precipitation ou de developper dans un desordre. Nous devons du coup prendre des mesures efficaces pour Pousser l’industrie electrique a se developper d’une facon bien ordonnee et progressivement. Cet article fait des recherches preliminaires sur les problemes existants dans le developpment de nouvelles energies et nous propose des solutions. Il est d’une valeur referentielle. Mots-Cles: energies renouvelables (nouvelles energies), electricite eolienne, problemes et solutions

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.223
Teacher spread0.215 · 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.

Study designObservational
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
Published2010
Admission routes1
Has abstractyes

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