Smart Grids: from Renewable Sources to Machine Learning
March 31 @ 3:00 pm - 4:00 pm
Please join Dr. Yuanyuan Fan, to gain a greater insight into Smart Grids: from Renewable Sources to Machine Learning. Dr. Fan has more than 10 years’ experience in researching various aspects of modern power systems. Her most recent interests include applying machine learning techniques to solve power system problems, and using machine learning algorithms to automate engineering education processes. Dr. Fan is currently a lecturer and course coordinator at EIT.
During the webinar, Dr Fan will:
- Share the vision of smart grids and the role of machine learning in the journey towards smart grids
- Look at the popular and promising renewable sources and energy storage systems
- Outline what machine learning can do in advancing modern power systems
- Describe a couple of case studies
This is a must-attend event for engineering professionals and aspiring engineers alike.
Reserve your spot at this free webinar today!
The webinar will be recorded and will be sent out to registered attendees afterwards. A certificate of participation can be provided to attendees who request it after the live webinar.
Please note: the time stated on this event is in Australian Western Standard Time (AWST). You will need to convert this to your own timezone.