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Enregistrement W4248908001 · doi:10.1088/1755-1315/645/1/011001

Preface

2021· article· en· W4248908001 sur OpenAlexaboutno aff

Notice bibliographique

RevueIOP Conference Series Earth and Environmental Science · 2021
Typearticle
Langueen
DomaineEngineering
ThématiquePower System Reliability and Maintenance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLibrary scienceEnergy (signal processing)EngineeringPolitical scienceComputer science

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,102
Score d'incertitude au seuil0,368

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,173
Écart entre enseignants0,166 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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