A review of active distribution networks enabling technologies
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
High levels of distributed generation have been installed in power systems and even a greater amount is expected to be deployed in the near future, with a large percentage likely to come from renewable energy sources. As such, Distribution System Operators (DNOs) will need to change their old “business as usual” passive approach, to one that adopts integration of control and communication technologies, together with emerging distribution network technologies, as a means of accommodating new generation in an optimal and economical manner. This paper presents a review of some of the impacts associated with the integration of distributed generation, together with some active distribution networks enabling technologies, intended to deal with the aforementioned problems. In particular, the present review focuses on technologies that are in advanced stages of Research and Development, or are even at the trial stage or are commercially available. However, further analyses are required in order to develop cheaper and more secure means to the increasing Distributed Generation connections.
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) | 0.001 | 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