Review on issues related to electric energy demand in distribution system for developing countries
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
Electricity consumers in developing countries are in demand for both reliable and high quality electric services to help the economy and support the increase in population. Poor quality of electricity is a major concern for these consumers because of the load shedding problem. This paper focuses on reviewing the current situation of energy demand and the expected load growth in developing countries. Then it will present the main loads contributing to a customer's electricity bill in these countries compared to his monthly income. It will also discuss other factors contributing to the increase in energy demand in developing countries. It will show the effect of increasing energy demand on power supply reflected into power cuts in these countries focusing on introducing the load shedding problem, main power outages, load shedding status in developing countries and the approaches followed in literature to minimize the severity of the problem. Then, the paper will provide the reader with a knowledge based review on distribution generation and renewable energy sources focusing on reviewing the energy demand compared to the available resources and the role of renewable energy sources in facilitating the expansion of electricity supply in developing countries.
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