Advancements and Applications of Next-Generation Artificial Intelligence in Power Systems: Theories and Techniques
This special issue aims to provide a platform for the dissemination of research on the theories, methodologies, and applications of next-generation AI technologies, with a particular focus on their role in power systems. The scope of this special issue includes, but is not limited to:
Enhancements in renewable energy and demand forecasting through LLMs.
The application of LLMs in power system planning and operation.
The use of next-generation AI for assessing and enhancing the resilience of power systems.
Demand-side self-management facilitated by next-generation AI.
Scenario analysis and simulation within power systems employing next-generation AI.
Analysis and design of electricity/carbon markets using LLM-based Agent.
Investigation of new physical information security challenges in power systems introduced by next-generation AI.
The role of next-generation AI in facilitating the low-carbon energy transition.
Case studies on the practical implementation of next-generation AI in power systems.
Guest editors:
Dr. Yanli Liu
Professor
School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China
Dr. Junhua Zhao
Associate Professor
School of Science and Engineering, CUHK(Shenzhen)
Dr. Z.Y. Dong
Professor
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore
Dr. Nikos D. Hatziargyriou
Professor
Electrical and Computer Engineering School, National Technical University of Athens, Greece
Dr. David Hill
Professor
Department of Electrical and Computer Systems Engineering, Monash University, Australia
Dr. Jianzhong Wu
Professor
School of Engineering, Cardiff University, Cardiff, UK
Dr. Rafael Segundo
Senior Lecture
Zurich University of Applied Sciences, Segundo, Switzerland
Manuscript submission information:
Manuscripts should be submitted via journal online submission system at: https://www2.cloud.editorialmanager.com/apen/default2.aspx by selecting the Article Type of " VSI: Next-Gen AI in Power ". A detailed submission guideline is available as “https://www.sciencedirect.com/journal/applied-energy/publish/guide-for-authors”.
Submission Open Date: 31 December 2024
Applied Energy的CAR指数
2023年3月份科睿唯安官方一次性踢除35本SCI期刊，多数涉及学术诚信问题，让我们意识到学术期刊的“被踢”指数，也很重要。目前，对于期刊的“被踢”指数，这里介绍一下：CAR指数（关于CAR的详细介绍，请关注：www.jcarindex.com），这是一种评价期刊学术诚信风险的指数，指数越高代表可能的风险越大。从数据看，Applied Energy不管是2022年度，还是2023年度的CAR指数，都是比较低的。当然，CAR指数仅供参考，期刊风险情况，需以科睿唯安或中科院预警等官方为准！
让推送更美好~
