Experimental set-up to study power quality in single-phase split-phase distribution systems
Bibliographic record
Abstract
Power Quality (PQ) has been an important topic since the creation of distribution systems. The deployment of the Advanced Metering Infrastructure (AMI) provided an important tool to measure the PQ of the electric power in the consumption points. One of the smallest secondary distribution systems in terms of power consumption is the single-phase split-phase system (120 V/240 V) that countries such as the United States, Canada, and some countries of central and south America have. Due to its size, this secondary distribution system is more prone to PQ issues. To that end, an experimental set-up was built by the authors so the distribution system from the Low Voltage (LV) transformer to the final appliances of the different houses was emulated. The aim is to capture the currents and voltages observed by the smart meter located at the entrance of the house and look for the different responses. A combination of real and dummy loads was installed in the set-up, so real noise could also be simulated. The set-up was totally automated by an industrial controller and relays, and it produced a very detailed dataset that could be used for multiple purposes.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".