Editorial for the special issue on power quality conditioning in modern power grids integrated emerging power electronic systems
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
DUE to the environment concerns, energy risks, fossil fuel problems, and the evolution of smart grid, the penetration of renewable energy systems and electric transportation systems is booming with a fast pace. Besides, with the proliferation and increased use of motor loadings and power electronic devices into all kinds of energy processing systems, the power quality (PQ) problems such as: reactive power and harmonics become more serious. This kind of PQ problems distort the source, lower the efficiency, and may cause instability, thus it makes negative impacts on the performance and reliability of grid or microgrids. In this regard, to ensure secure, reliable, and efficient power supply and transmission in power-electronics-controlled systems, PQ issues should be properly taken care of. That is, the desires to develop PQ-free or PQ-compensated power electronic systems and infrastructures are of high interest and importance. Hence, we organized this Special Issue on Power Quality Conditioning in Modern Power Grids Integrated Emerging Power Electronic Systems for targeting the analysis, topology and control strategy of PQ-free or PQ-compensated power converters in renewable energy systems, electric transportation systems, PQ conditioning systems, industrial automation systems, lighting systems, etc., which also includes the detection, characterization and analysis methods of the PQ issues.
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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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