Renewable Energy Sources,Technologies and Protection Challenges in Indian Context:A Comprehensive Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The prime requirement for the improvement of quality of life and the socio-economic condition of any nation is the clean and environment friendly energy harvesting. India, the 2nd highest populous country with a population of 1.39 billion is one of the largest consumers of using fossil fuels in the world. Limited availability of the fossil fuels may obstruct the future socio-economic development. Hence India government motivates the use of renewable energy sources. The renewable energy sources like solar, wind and biomass etc will never diminish their availability. Sunlight is used to meet ever increasing energy need. The literature analysis shows that in India fossil fuels still continues to contribute 80% and renewable energy sources around 20% of the total electricity generation. It is now of prime importance to focus on the technologies and the protection challenges of renewable energy sources in Indian context. The author has reviewed more than 300 research articles and presented various analysis reports. This will definitely help the researchers to find the lacuna behind less contribution of the renewable energy 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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it