BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Engineering Institute of Technology - ECPv6.17.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Engineering Institute of Technology X-ORIGINAL-URL:https://www.eit.edu.au X-WR-CALDESC:Events for Engineering Institute of Technology REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Shanghai BEGIN:STANDARD TZOFFSETFROM:+0800 TZOFFSETTO:+0800 TZNAME:CST DTSTART:20200101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Shanghai:20210331T150000 DTEND;TZID=Asia/Shanghai:20210331T160000 DTSTAMP:20240627T005615Z CREATED:20210219T080424Z LAST-MODIFIED:20240627T005615Z UID:16829-1617202800-1617206400@www.eit.edu.au SUMMARY:Smart Grids: from Renewable Sources to Machine Learning DESCRIPTION:The live presentation of this event has already taken place. To download the recording and presentation slides\, please complete the form below.\n \nPlease 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. \nDuring the webinar\, Dr Fan will: \n\nShare the vision of smart grids and the role of machine learning in the journey towards smart grids\nLook at the popular and promising renewable sources and energy storage systems\nOutline what machine learning can do in advancing modern power systems\nDescribe a couple of case studies \n\nThis is a must-attend event for engineering professionals and aspiring engineers alike. \nReserve your spot at this free webinar today! \nThe 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. \nPlease note: the time stated on this event is in Australian Western Standard Time (AWST). You will need to convert this to your own timezone. URL:https://www.eit.edu.au/event/smart-grids-from-renewable-sources-to-machine-learning/ LOCATION:Online CATEGORIES:Technical Engineering Topics Webinar END:VEVENT END:VCALENDAR