Indian Renewable Energy Status Report: Background Report for DIREC 2010
Bibliographic record
Abstract
India has great potential to accelerate use of endowed renewable resources in powering its growing economy with a secure and affordable energy supply. The Government of India recognizes that development of local, renewable resources will be critical to ensure that India is able to meet both economic and environmental objectives and has supported the development of renewable energy through severalpolicy actions. This paper describes the status of renewable energy in India as of DIREC 2010. It begins by describing the institutional framework guiding energy development in India, the main policy drivers impacting energy, and the major policy actions India has taken that impact renewable energy deployment. The paper presents estimates of potential for wind, solar, small hydro, and bioenergyand the deployment of each of these technologies to date in India. The potential for India to meet both large-scale generation needs and provide access to remote, unelectrified populations are covered. Finally, the enabling environment required to facilitate rapid scale of renewables is discussed, including issues of technology transfer and the status of financing in India.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.015 |
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".