IEEE
Open Journal of Circuits and Systems期刊(IF=2.4，JCR二区)专题“Artificial Intelligence in Power Electronics”目前开始火热征稿啦！课题广泛+文章处理效率高，欢迎各位投稿！更多相关专刊请 关注公众号（小红书同名）并回复“专刊”进入专刊资源群聊。专刊的部分编辑也在群里，欢迎大家带帖询问。有需要帮助宣传的也随时欢迎联系后台，回复“互助”。每个人都可以是公众号的创作者！
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Power electronic systems are transitioning
towards data-centric paradigms, underpinned by ubiquitous connections that
facilitate data-driven applications. By incorporating AI, power electronic
systems are endowed with self-awareness and self-adaptability, thereby
enhancing system autonomy. This exciting journey has seen the emergence of many
innovative concepts, state-of-the-art AI tools, and cutting-edge hardware, all
of which have added new dimensions to the field of power electronics. There are
a plethora of applications, such as design optimization of power module
heatsinks, intelligent controllers for multi-color LEDs, maximum power point
tracking (MPPT) control for wind energy conversion systems, anomaly detection
for inverters, and remaining useful life (RUL) prediction for supercapacitors,
to name a few. The opportunities for integrating learning capabilities into
systems are expanding, paving the way for the next significant leap in smart
power electronic systems. This special issue aims
to inspire fresh ideas and showcase the latest research achievements in this
dynamic field. We invite prospective authors to submit original contributions
or survey papers for review and potential publication in this special issue.1. AI-assisted
design (heatsink, circuity, magnetics, etc.)
2. AI in
Design for Reliability (DfR)
3. AI for
accelerated test planning and experiment
4. Intelligent
data-driven control and optimization
5. Online
learning and adaptive control
6. Intelligent
lifetime extension and power routing
7. Digital
twin and surrogate models
8. Cybersecurity
and attack identification
9. Physics-informed
machine learning for power electronics
10. Condition
& health monitoring
11. Anomaly
detection, fault diagnostics, failure prognostics
12. Tailored Al
for data- and computation-light applications
13. Uncertainty
quantification and repeatability verification
14. Transfer
learning and domain adaption
15. loT, cloud
computing, hardware implementation
全文投稿截止日期：2024年10月30日。（如有延期请关注留言区）
https://ieee-cas.org/files/ieeecass/2024-06/Call%20for%20Papers%20OJCAS.pdf
