Bibliographic record
Abstract
This proceeding contains the papers presented at the 3rd Asia Conference on Energy and Electrical Engineering (ACEEE 2020), and the workshop, the 3rd International Conference on Power and Smart Grid, which was scheduled to be held in Kuala Lumpur, Malaysia on May 29-31, 2020. When initially challenged by the ACEEE 2020 Conference Committee to propose to postpone ACEEE 2020 to next year or to the end of 2020, we immediately realize that unforeseen circumstances are still on the way. After evaluating the current COVID-19 situation and referring other successful virtual conferences, ACEEE 2020 had to make the difficult decision to move to a fully virtual conference this year. We felt this to be a unique opportunity to provide a more flexible way for researchers, professionals and other experts from around the world to present their research results in Energy and Electrical Engineering. We are happy to introduce that our committee was composed of about thirty excellent experts and scholars in the field of Energy and Electrical Engineering from various famous universities around the globe. Especially, we are honored to invite five distinguished keynote speakers to perform their valuable research achievements. Prof. C. Y. Chung (IEEE Fellow), University of Saskatchewan, Canada, presented a speech entitled Efficient Uncertainty Modeling for Optimal Planning and Operation of Modern Power Systems; Prof. C. K. Michael Tse, City University of Hong Kong, China, talked about Modelling and Analysis of Cascading Failure in Power Systems; Prof. Z.Y. Dong (IEEE Fellow), University of New South Wales, Australia, held his talk on Distributed Renewable Energy Resource Uptake Methodologies; Prof. Junye Wang, Athabasca University, Canada, who shared with us his speech on Decentralized Renewable Energy in Cold Climate Regions: Challenges and Opportunities. Lastly, Prof. Zhixin Wang, Shanghai Jiaotong University, China, discussed his study on DC Fault Current Limiter and Application in VSC-HVDC Transmission System. The professional research of the five speakers stimulated in-depth communication between the participants via Zoom online rooms, and also provided new ideas for scholars in the field of energy and power, which enabled the conference a great success.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.641 | 0.511 |
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 source (direct Gemma or distilled Codex), 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".