Bibliographic record
Abstract
It was a great pleasure to welcome all the participants from different countries to the 2020 International Conference on Smart Grid and Energy Engineering in Guilin, China during November 13-15, 2020. This three-day conference was organized by AEIC Academic Exchange Information Centre and co-organized by GUANGZHOU Computer Society. SGEE 2020 is to bring together innovative academics and industrial experts in the field of Smart Grid and Energy Engineering to a common forum. The primary goal of the conference is to promote research and developmental activities in Smart Grid and Energy Engineering and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Smart Grid and Energy Engineering and related areas. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches. In this conference, we are greatly honored to have invited Prof. Om P. Malik from University of Calgary, Canada to serve as our Conference Chairmen. During the conference, we were pleased to invite six distinguished experts to present their insightful speeches. The first keynote speaker, Prof. Z.Y. Dong, The University of New South Wales, Australia, held a speech on Promoting Renewable Energy with Virtual Power Plants . In this talk, the energy market rules which provides opportunities for VPP development were presented, together with methodologies on smart energy management for VPP applications. Prof. Juan Yu from Chongqing University, China, talked about Data-driven Methods for Operational Reliability Assessment of Power Systems Integrated with High-penetration Renewables . Her speech focusing on the computational efficiency of the operational reliability assessment in power systems that contain high penetration renewables, this presentation lays a theoretical foundation to support practical applications of an online high-accuracy operational reliability assessment. Prof. Alberto Borghetti, University of Bologna, Italy, shared a speech on his specialty related to Scheduling problems in local energy communities . This presentation is aimed to describe some models that could be useful for the operation of energy communities and distribution networks where trading between neighbors becomes significant. A/Prof. Farhad Shahnia, Murdoch University, Australia, made an insightful speech on Recent and Future Research on Microgrid Clusters . This talk briefly introduced the progress of research in this field around the world and Australia, and also discussed some of the technical challenges associated with interconnection of neighbouring microgrids as a key step to improve their survivability in the course of unexpected imbalances between the demand and the available generation from intermittent renewable resources. Prof. Xinyu Chen, Huazhong University of Science and Technology, China, delivered a speech: Towards Higher Penetration of Renewable Challenge and Opportunities . This talk focused on deepen the understanding of how the environmental regulations and low carbon polices influence the operation, planning and markets for power systems in different counties. As the last keynote speaker, Prof. Shouxiang Wang from Tianjin University, China. His research area: microgrid, smart distribution system, uncertainty analysis of power system. We are glad to share with you that we received lots of submissions from the conference and we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Smart Grid Information Engineering, Electric Drive and Applications, Renewable Energy, Energy Efficiency and other related topics. All the papers have been through rigorous review and process to meet the requirements of International publication standard. We are really grateful to the International/ National advisory committee, keynote speakers, session chairs, organising committee members, student volunteers and administrative assistance of the management section of University, including accounts section, digital media and publication house. Also, we are thankful to all the authors for contributing a large number of papers in the conference, because of which the conference became a story of success. It was the quality of their presentations and their passion to communicate with the other participants that really make this conference series a great success. The Organizing Committee of SGEE 2020 List of Committee member are available in this pdf.
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 | 0.000 | 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 | 0.001 |
| 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 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".