Motivation and Scope:
In the era of rapid technological advancement, artificial intelligence (AI) emerges as a transformative force, driving innovations across various sectors. The application of AI in smart energy and sustainable smart manufacturing stands at the forefront of this revolution, presenting a compelling narrative for exploration and discussion. This domain is motivated by the critical need to address global challenges such as climate change, energy scarcity, and the imperative for sustainable development. AI's potential to optimize energy consumption, enhance efficiency and enable predictive maintenance in manufacturing processes promises not only revolutionizes these sectors, but also contribute significantly towards a sustainable future. This special session welcomes submissions of original research papers, case studies, and innovative solutions that contribute to advancing the field of artificial intelligence in smart energy and sustainable smart manufacturing. We encourage interdisciplinary approaches and collaborations that address the multifaceted challenges of energy efficiency and sustainable industrial practices through technological innovation.
Session topics include but not limited to:| 1, | Exploration of Intelligent optimization and key technologies for sustainable manufacturing |
| 2, | Techniques for efficient management and forecasting of electric vehicle charging |
| 3, | Operational efficiency and reliability of the renewable energy systems(solar, wind, and other renewable energy sources) |
| 4, | Leveraging AI, IoT, and digital twins for energy system decarbonization |
| 5, | Smart buildings in low-carbon energy systems |
| 6, | Planning and management of distributed renewable generation, new flexible loads, hydrogen energy, and energy storage. |
| 7, | Planning and operation of resilient integrated energy systems |
| 8, | Smart strategies for enhancing energy efficiency and minimizing emissions in industrial production |
| 9, | Collaboration frameworks and techniques for human-robot interaction in smart manufacturing |
| 10, | Predictive analytics for reducing energy consumption in industrial processes |
| 11, | Robotic automation for sustainable manufacturing processes |
| 12, | Intelligent algorithms for wind power generation in sustainable energy systems |
| 13, | Diagnosis mechanisms for smart grid infrastructure, smart manufacturing |
E-mail address:
Prof. Zhile Yang, zl.yang@siat.ac.cn
Prof. Kunjie Yu, yukunjie@zzu.edu.cn
Prof. Yuanjun Guo, yj.guo@siat.ac.cn
Prof. Qinge Xiao, qg.xiao@siat.ac.cn
Paper submission:
Prospective authors are invited to submit full-length papers before the submission deadline through the online submission system at https://www.smartchair.org/LSMS2024-ICSEE2024/. Further, proposals for special sessions within the technical scopes of the conference are most welcome. Papers submitted for special sessions will be peer-reviewed with the same criteria as used with regular papers. A special session proposal should include the session title, a brief description, and the names, contact details and bio-sketch of the organizers.
See also the Author's kit for Paper Format.
Accepted papers are scheduled to be published in the Springer Communications in Computer and Information Science (CCIS) proceedings (EI Compendex). Some high-quality papers will be recommended for possible publication in SCI indexed international journals after expansion and further review, such as Journal of Modern Power Systems and Clean Energy, Transactions of the Institute of Measurement and Control, Expert System with Applications, Swarm and Evolutionary Computation, Cognitive Computation, Enterprise Information Systems, Advances in Manufacturing, IET Energy Systems Integration, etc.
