Metrology and the elctric power grid modernization
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
Metrology, as the science of measurement, is the very basis for acquiring scientific knowledge. In electric power systems, measurements of electrical and non-electrical quantities are necessary for monitoring, control, protection, and sage and reliable operation. Another significant application is revenue metering for industrial, commercial and residential customers. In today’s interdependent world, ensuring uniform metrology inside and across national boundaries is an important enabling factor of national and international trade, including the electrical energy trade. The introduction of distributed power generation, renewable energy resources, and deregulation of electric power utilities has in many countries, been transforming the electric power grids. We are witnessing exciting developments in metrology, on which the Smart Grid is based. This includes smart metering, synchro phasor and frequency measurements, wide-area protection, wide-area situational awareness, digital substations, energy storage and other evolving power system technologies. The proliferation of harmonics in the grid has been increasing over the last decades. With the prominent role of power electronics in new Smart Grid developments, this trend continues. The increased penetration of electric vehicles (EV) and the EV infrastructure emphasizes the necessity for wide frequency band measurements of distorted waveforms. New instrumentation and measurement methods for industrial applications at high-voltage and high-current levels are being developed. The digital measurements of voltage, current, phase, frequency, power and energy are continually improving. This is pushing the boundaries of the high accuracy measurements needed for calibrations. The role of National Measurements Institutes in providing the highest accuracy measurement standards and traceability to SI units is essential. The SI is undergoing profound changes, and the new revised SI is about to be adopted. Metrology has a key role in the research, development and innovation of evolving electric power grid. In the words of Lord Kelvin: “If you cannot measure it, you cannot improve it.”
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