Sustainable Electricity Generation in Developing Countries: Case Study in a Sub-Saharan Rural Community
Bibliographic record
Abstract
With the current global trend of decarbonization and electrification, several countries launch their campaign of ecological transition. Electricity generation sector still represent the main sources of CO<inf>2</inf> emission, and several countries still afford only on fossil fuels. Developing countries represent a significant percentage of them. In addition, the access to electricity to many communities, especially in rural areas, still represent a major issue for the development of these countries. The implementation of a micro-grid powered by renewables, highly available in these areas can represent the key to overcome the barrier of electricity access. Based on these considerations, this work wants to simulate the possibility to provide clean electricity, generated by a PV plant, to a small community, composed by 500 families, in the rural areas of Sub-Saharan Africa. The case study also highlights the possibility to supply easily the load in an economical sustainable way, generating electricity at an affordable price, in order to make more accessible electricity also to the poorest communities.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".