Renewable Energy Sources: Global and Russian Outlook Up to 2040
Bibliographic record
Abstract
During the period up to 2040, renewable energy sources (RES) will have the highest growth rates of all forms of energy. Based on the calculations on the world energy model incorporated in the SCANER modelling and information complex (working on the basis of optimization, econometric analysis, and balance approach), key trends in the world consumption of renewable energy sources; the share of OECD and non-OECD countries in the use of the renewable energy sources; consumption of renewable energy sources by type; end use and the impact on the electricity sector during the period up to 2040 were observed. The main finding of the paper is that RES are becoming more competitive and therefore will be used on an increasingly wide scale not only in the OECD countries, but also in the whole world. At the same time, due to the fact that RES start their take-off from a modest basis, they will only have a limited influence on the shares of hydrocarbons in the energy mix.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".