Satellite Image Identification of Wind Channels to Delineate Wind Energy Generation Sites in Pakistan
Bibliographic record
Abstract
Technologically, all the renewable energy sources are viable and consequently suit to efforts for poverty alleviation and cleaner environment in Pakistan. They can play an important role in meeting the challenge of providing future electricity to all parts of the country. Wind energy is one of these renewable sources. Considering the geological & geomorphologic setup, geographical position and climatic cycles, Pakistan has tremendous wind potential. Pakistan has about 1000 km long coastline, which could be utilized for the installation of wind farms and wind-monitoring stations as well. Various preliminary comparative studies apparently show that the wind potential is not uniformly distributed along the coastal belt of Pakistan. The present research study is based on the analyses of the satellite images of different periods. On the bases of the result of the study, the prospective wind channels have been identified all along the coastal belt of Pakistan, which are the ideal regions to establish the wind farms for the generation of electricity on the commercial scale.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".