【Top期刊|AI+电力】2025年2月28！AE期刊专题“下一代人工智能在电力系统中进展与应用：理论与技术”征稿+专刊群聊邀请

Advancements and Applications of Next-Generation Artificial Intelligence in Power Systems: Theories and Techniques

截止日期：2025年2月28日

关键词：下一代人工智能；电力系统

Artificial general intelligence (AGI) aims to create an intelligence system that exhibits similar or surpassing human intelligence across a wide range of tasks. In recent years, advancements in Large Language Models (LLMs), such as ChatGPT, have demonstrated capabilities that often surpass human performance in various domains, including machine translation, text summarization, question-answering, and text generation. These achievements mark significant progress in the journey towards AGI.

In the context of power systems, the integration of next-generation artificial intelligence technologies, represented by AGI, promises the realization of highly autonomous, efficient, and resilient power systems characterized by advanced sensing, self-management, and sophisticated multi-dimensional decision-making capabilities. The exploration of how next-generation AI can enhance the functionality of power systems and facilitate the transition to low-carbon energy sources is both crucial and compelling. This is particularly due to the unique characteristics of next-generation AI, such as its adaptability, learning efficiency, and superior capacity for handling complex, multidimensional problems. These attributes are essential for intelligent energy systems as they navigate the challenges of integrating renewable energy sources, ensuring grid stability, and meeting evolving regulatory and market conditions.

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.

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

请登录期刊官网投稿，并在投稿栏目下拉列表中选择特刊标题。

投稿链接（阅读原文）：

https://www.sciencedirect.com/journal/applied-energy/about/call-for-papers

Submission Open Date: 31 December 2024

Manuscript Submission Deadline: 28 February 2025

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