Bibliographic record
Abstract
This thesis is the product of three years research within the field of dynamic loadability of cable based transmission grids. The report contains a summary of the three year PhD project which has been conducted in a collaboration between the Danish Transmission System Operator (TSO), Energinet.dk who has fully funded the research, and the Department of Electrical Engineering at the Technical University of Denmark (DTU). All content of this report has been produced by the author during the three years, either individually or in collaboration with the different professional partners. The PhD project was carried out at three main locations, the head quarters of Energinet.dk in Errits, DTU in Kgs. Lyngby and during a ve months external stay at Kinectrics in Toronto, Canada. At Energinet.dk I gained considerable knowledge about the practical considerations regarding design, installation and dynamic loadability of cables. Energinet.dk has also been the main location where discussions, about how to implement the ndings of the project into the real world, have taken place. At DTU most of the academical discussions within the project have taken place. This includes discussions about pure mathematical issues, cable technology and software technical problems. DTU was also the place where most of the experimental work, for verication of the theoretical models, took place. For the external stay, which is a mandatory activity to obtain a PhD degree from DTU, I visited Kinectrics in Toronto, Canada. Kinectrics is a large consultancy who employ, among others, one of the experts within loadability calculations, Dr. George Anders. During my stay, I obtained much insight i into dynamic rating techniques, practical issues with loadability calculations and the mathematics behind. During the PhD project I supervised 2 master projects, as well as 5 special courses at DTU. Furthermore I created and taught a cable course, with approximately 25 students, throughout 13 weeks during the spring of 2011. The PhD project has until now contributed with 3 journal papers and 4 conference papers. Selected papers can be found in the appendix. This thesis is divided into 9 chapters, plus list of references, appendices, etc. References to literature are denoted in square brackets, e.g. [1], and equations are denoted in parenthesis, e.g. (1.2) where the 1 refers to the chapter number and the 2 refers to the specic equation in the chapter. Similarly gures and tables are referenced as e.g. gure 1.2 and table 1.2, where the 1 refers to the chapter number and the 2 refers to the specific gure or table in the chapter.
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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 | 0.000 | 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) | 0.007 | 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".