Bibliographic record
Abstract
Against the backdrop of the rapidly evolving global energy transition, power, grid and energy storage technology are receiving unprecedented attention as key forces in promoting cleaner, smarter and more efficient energy sources. The Proceedings of the 2024 2 nd International Conference on Power, Grid and Energy Storage (PGES 2024) brings together the latest research results and cutting-edge explorations of experts and scholars in the field of power energy from all over the world, demonstrating the vigorous vitality and unlimited potential of this field. The PGES 2024 took place virtually in Kunming, China from June 21 st to 23 rd , 2024. The conference was organized in order to provide an international academic forum for promoting research and other academic activities as well as developing research cooperation in field of power, grid and energy. It is worth mentioning that the number of international participants in this conference hit a record high. Experts and scholars from Canada, Malaysia, Italy, New Zealand, China, and many other countries and regions gathered together to contribute to the development of power, grid and energy. They brought cutting-edge technologies and research results in their respective fields, injecting new vitality and momentum into the conference. The conference fully demonstrated the characteristics of globalized exchanges. Participants from different countries and regions promoted international academic exchanges and cooperation by sharing their research achievements and experiences. At the same time, the conference also invited a number of internationally renowned experts and scholars to give keynote speeches, bringing participants cutting-edge academic views and profound insights. The keynote speakers include Hossam A. Gabbar (full Professor of Ontario Tech University, Canada), Tao Lin (Professor of Wuhan University, China), M A Hannan (Professor of Sunway University, Malaysia), Pierluigi Siano (Full Professor of University of Salerno, Italy), Udaya Madawala (Professor of The University of Auckland, New Zealand), as well as Guobing Zhou (Professor of North China Electric Power University, China). In addition, the conference also organized oral and poster presentations, which provided participants with more opportunities for in-depth exchanges and discussions. These activities not only helped to enhance the friendship and cooperation among the attendees, but also laid a solid foundation for promoting international exchanges and cooperation in the field of information education and artificial intelligence. The topics of papers collected and undergone rigorous peer review in the Proceedings of PGES 2024 can be classified as follows: Power Systems and Automation, Energy Storage Equipment and Systems, Smart Grid Information Engineering, Electrical Power Generation Technology, Power Transmission and Distribution, Communication and Control in The Power System, etc. We would like to express our sincere thanks and gratitude to all the keynote speakers, authors, committee members and other colleagues for the success of PGES 2024, which has given rise to this present volume of selected papers. We would also like to acknowledge the staff of Journal of Physics: Conference Series for their effective work to make this Proceedings published. The Committee of PGES 2024 List of Committee Member is 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".