http://www.energy-ai.org/
Plenary speaker
AI techniques integrated in the design and development of electrical machines for circularity and low use of critical raw materials
Electrical machines and drives are the heart of the modern energy conversion applications and the technology in this field continues to naturally grow and evolve. The driven forces behind this trend are as follows: (i) fast time to market and high-quality technical specifications (ii) critical raw materials (CRM) strategies; (iii) sustainable and circular economy; (iv) progress in active material engineering; (iv) high level of system integration; (v) new standards of energy efficiency, maintainability and reliability; (v) safety and environmental issues. Artificial Intelligence brings methods and techniques that can support the integration of CRM-less strategies and sustainability & circular economy (CE) principles, along the EMD value chain, from early design, to production, operation and end-of-life resulting in increasingly sustainable products that stand the test of circularity, reducing the impact on the environment and climate change.
Biography
Claudia Steluta Martis is full professor at Technical University of Cluj-Napoca, Romania. She received the PhD in Electrical Engineering from the same university in 2001. Her research is focused on electrical machines and drives and she has a large experience with European and national projects management since 2012. She is co-author of more than 120 scientific articles and currently she is coordinating 9 PhD students.
Energy and AI 是天津大学官方期刊，其目标是成为能源和人工智能交叉领域前沿研究的权威期刊。该期刊主要刊登研究(Research)、短讯(Short communication)、展望(Perspective)、综述(Review)等类型的文章。欢迎广大学者踊跃投稿。我们的网址是：www.journals.elsevier.com/energy-and-ai
