AI and Digitalization as Enablers of the Clean Energy Transition

#WIE #power #electronics #cleanenergy #energy #Aritificalintelligence #ai
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The combined Santa Clara Valley, San Francisco, & Oakland/East Bay IEEE PELS is very pleased to invite you to our upcoming online webinar. We are excited and honored to have Prof. Qianwen Xu of the KTH Royal Institute of Technology, Sweden to speak on the topic of AI and Digitalization as Enablers of the Clean Energy Transition.

Here's more about the talk from the Speaker:

As we transition towards a climate-neutral society, future energy systems will increasingly feature high shares of renewable energy sources and power electronic converters. However, these advancements introduce significant challenges in maintaining power balance and system stability. This talk will explore how AI helps to address these challenges. Specifically, the talk focuses on transfer learning based modeling for converter interfaced assets, digital twin development of power systems, and safe deep reinforcement learning for grid optimization with numerous converter interfaced renewable energy sources. This talk targets those interested in tech-driven environmental sustainability, offering insights into how digital advances support the clean energy transition.



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  • Date: 10 Dec 2024
  • Time: 11:00 AM to 12:00 PM
  • All times are (UTC-08:00) Pacific Time (US & Canada)
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