Adelaide Power System Summer School (APSSS)
Organised by the School of Electrical and Electronic Engineering
The University of Adelaide
Adelaide, South Australia, Australia
APSSS 2020
Application of Artificial Intelligence (AI)
in power systems and smart grids
February 10-14, 2020
Adelaide, Australia
Power system infrastructure, operation, planning, monitoring and maintenance are undergoing a tremendous transformation. Old practices are replacing with contemporary technology-based approaches at a fast pace. The sheer magnitude of changes demands frequent in-depth training of professionals and engineers to learn about new practices and tools.
The Adelaide Power Systems Summer School (APSSS) brought together internationally and nationally renowned experts in the field to teach application of artificial intelligence methods in power systems and smart grids, including:
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Deep Neural Network and Physics-Informed Neural Network,
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Bayesian Networks and Graph Signal Processing,
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Model-based and Model-free Reinforcement Learning
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Clustering and Classification
The sessions involved teaching and hands-on exercises using open-source tools.
84 submitted expression of interests and 37 were selected and participated in the APSSS 2020. Here are some facts about our participants:
You can read more about APSSS 2020 in the academic and industry flyers below:
Lectures
The lectures are divided into four categories: Opening and Keynote Speech, Physics-Informed Neural Network, Bayesian Networks and Graph Signal Processing, Reinforcement Learning, Classification and Clustering. Each category contains several lectures.
All the lectures are recorded and available to you for free. Please share the content with your peers and leave us feedback in the comment section.
Keynote Speech by Professor Ian Hiskens, University of Michigan Ann Arbor | Slides
Machine Learning for Power Systems by Assoc. Professor Spyros Chatzivasileiadis, Technical University of Denmark | Slides | Codes
Graph-Based Machine Learning for Power Systems by Professor Anna Scaglione, Arizona State University
Reinforcement Learning by Dr Jose R Vazquez-Canteli (on behalf of Prof. Zoltan Nagy), The University of Texas at Austin | Slides | Codes
Clustering and Classification Methods by Senior Lecturer Archie Chapman, The University of Queensland | Slides | Codes
Homework Assignment (prepared by the speakers) | Solutions (thanks to Emma Blomgren) | Files
Our Speakers
We’re proud to feature a list of prominent speakers who are at the forefront of their fields. These professionals are always eager to share their knowledge and inspire like-minded enthusiasts. Read more about this year’s speakers below, and contact us if you would like to learn more information.
Ian Hiskens (keynote speaker)
PhD, the University of Newcastle, Australia (1991)
Vennema Professor of Engineering, the University of Michigan at Ann Arbor, the USA
Ian is an IEEE Fellow (2006), a Fellow of Engineers Australia, and a Chartered Professional Engineer in Australia with tremendous experience in academia as well as industry. He was a professor at the University of Wisconsin-Madison (2002-2008), a visiting professor at the University of Illinois at Urbana-Champaign (1999-2002), and a senior lecturer at the University of Newcastle, Australia (1992-1999). He was with the Queensland Electricity Supply Industry, where he held the positions of EMS Security Applications Engineer and Planning Engineer Transmission Systems from 1980 to 1992.
Zoltan Nagy
PhD, ETH Zurich (2011)
Assistant professor, The University of Texas at Austin
Zoltan was a visiting researcher at MIT in 2009 and spent a semester at DTU on the student exchange program in 2005. He was a postdoc at ETH Zurich prior to joining UT Austin. He is a co-founder of award-winning high-tech spin-off Femtotools in 2007.
Archie Chapman
PhD, University of Southampton (2009)
Senior Lecturer, The University of Queensland
Archie is a member of the Data Science group of the School of IT and Electrical Engineering at UQ. Prior to joining UQ, Archie was Research Fellow in Smart Grids at the University of Sydney (2011-2019), and a postdoc fellow at the Uni of Southampton (2009-2010).
Anna Scaglione
PhD, University of Rome “La Sapienza” (1999)
Professor at the Arizona State University (ASU)
Anna is an IEEE Fellow (2011), the Distinguished Lecturer of the IEEE Signal Processing Society, and the director of the SINE Lab at ASU. Prior to joining ASU, she was Assistant (2001-2006) and Associate (2006-2008) Professor at Cornell University, Associate Professor (2008-2010) and Professor of electrical engineering (2010-2014) at the University of California at Davis. In 2006, she was visiting professor at EPFL, Lausanne, Switzerland, and in 2013 at Stanford University.
Spyros Chatzivasileiadis
PhD, ETH Zurich (2013)
Associate Professor at the Technical University of Denmark (DTU)
Spyros received his PhD from ETH Zurich. He was a postdoc fellow at MIT and Lawrence Berkeley National Lab (LBNL). He was an exchange student at the Technical University of Munich and the University of Liege during his undergrad and PhD education, respectively.
Schedule
You can check the APSSS 2020 detailed program in the PDF document below.
Welcome Dinner
We had a welcome dinner at the beautiful Ayers House. Professor Wen Soong, head of the School of Electrical and Electronic Engineering, welcomed participants to the event. Professor Nesimi Ertugrul and David Vowles from the School joined the cohort as well.
Winery Tour
The lectures are divided into four categories: Opening and Keynote Speech, Physics-Informed Neural Network, Bayesian Networks and Graph Signal Processing, Reinforcement Learning, Classification and Clustering. Each category contains several lectures.
All the lectures are recorded and available for free. Please share the content with your peers and leave us feedback in the comment section.
Our Sponsors
Gold
Sponsor
SA Power Networks is a key player in South Australia’s energy industry as the state’s sole electricity distributor. They build, maintain and upgrade the poles, wires and substations that deliver power to around 900,000 homes and businesses.
Their Future Operating Model provides insight into how their business will change over time to provide better solutions for a world reliant on virtual power plants, electric vehicles and smart appliances.
Bronze
Sponsor
The Australian Power Institute (API) represents major Australian power companies in providing future professional power engineering capability whose vision is:
"To Deliver a Sustainable Supply of Highly Skilled Power Engineering Professionals Working Effectively to Meet the Challenges of Australia’s Emerging Energy Future and to Support the Technical and Commercial Success of Member Companies in the Energy Sector"