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Record W2050849598 · doi:10.1134/s0040601512110080

Changing pattern and amount of the residential and commercial energy consumption in response to economic and climatic factors

2012· article· en· W2050849598 on OpenAlexaboutno aff
В. В. Клименко, А. В. Клименко, A. G. Tereshin, D. S. Beznosova, T. N. Andreychenko

Bibliographic record

VenueThermal Engineering · 2012
Typearticle
Languageen
FieldEngineering
TopicEnergy Load and Power Forecasting
Canadian institutionsnot available
Fundersnot available
KeywordsEnergy consumptionConsumption (sociology)Economic sectorBusinessNatural resource economicsEnergy sectorClimate changeEnergy conservationEnvironmental protectionAgricultural economicsEconomyEnvironmental scienceGeographyEconomicsEngineeringEcology

Abstract

fetched live from OpenAlex

This paper presents the results of calculating the amounts and the pattern of energy consumption in the residential and the commercial sectors of the Russia economy under conditions of the present-day economic development with due regard for climate change. The analysis of regional specific features and the estimate of the future energy consumption by the housing and municipal services (HMS) sector for the period until 2050, as well as a comparison with similar indicators found in foreign countries, are given. It has been shown that, as a result of improved living standards, enhanced energy efficiency in the HMS sector, and global warming for the next decades to come, a considerable reduction in the specific energy consumption in this sphere will take place, while the pattern of the energy consumption in it will correspond to the present-day situation in Canada. In southern regions of Russia this indicator will approach the values typical for the northern contiguous states of the USA.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.200
Teacher spread0.189 · 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 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

Citations8
Published2012
Admission routes1
Has abstractyes

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