Summer School 2024

The DTU PES Summer School 2024 took place from the 27th – 31st of May 2024. The school was an intensive 5 day course looking to teach participants all about novel research topics and methods in power systems. The school included talks by world-renowned researchers and leading industrial companies in the field of power systems. Participants earned 2.5 ECTS by attending the school and submitting a summary of their learnings after completing the summer school.

Program

Speakers

David Newbery (Keynote Speaker)

David Newbery is an Emeritus Professor and Director of The Energy Policy Research Group (EPRG) at the University of Cambridge, UK. He received his undergraduate degrees in Mathematics and Economics, as well as his PhD and ScD in Economics from the University of Cambridge. He has extensive consulting experience, including, but not limited to, the World Bank and Ofgem (Office of Gas and Electricity Markets). His current research includes but is not limited to electricity market design and behaviour, transmission access pricing, renewables support mechanisms, and climate change policy.

Pierluigi Mancarella

Pierluigi Mancarella is the Chair Professor of Electrical Power Systems at the University of Melbourne, Australia, and Professor of Smart Energy Systems at the University of Manchester, UK. He received his M.Sc. and Ph.D. in Electrical Engineering from the Politecnico di Torino, Italy, and was a postdoctoral researcher at Imperial College London, UK. Professor Mancarella is a recipient of the international Newton Prize 2018 for his work on power system resilience in Chile. Additionally, he is the Australian principal investigator of the US-UK-Australia Global Center in Climate Change and Clean Energy “EPICS”. His key research interests include techno-economic modelling and analysis of multi-energy systems, grid integration of renewables and distributed energy resources, energy infrastructure planning under uncertainty, and security, reliability, and resilience of low-carbon networks.

Line Roald

Line Roald is an Associate Professor and Grainger Institute Fellow in the Department of Electrical and Computer Engineering in University of Wisconsin—Madison. She received her Ph.D. degree in Electrical Engineering (2016) from ETH Zurich, Switzerland. Prior to joining UW Madison, she was a postdoctoral research fellow with the Center of Non-Linear Studies at Los Alamos National Laboratory. She is the recipient of an NSF CAREER award, several best paper awards and the UW Madison ECE Outstanding Graduate Mentor award. Her research interests center around modeling and optimization of energy systems, with a particular focus on managing uncertainty and risk from extreme weather and renewable energy variability.

Carleton Coffrin

Carleton Coffrin is a staff scientist in Los Alamos National Laboratory’s Advanced Network Science Initiative. Dr. Coffrin received his Ph.D. in Artificial Intelligence and MS in Computer Science from Brown University. His research interests focus on how optimization algorithms can be applied to applications on infrastructure networks. His background spans many forms of optimization including mathematical programing, constraint programming, and local search. Recently Carleton has been exploring online learning via open-online courses and youtube videos as well was novel computing architectures such as, quantum computers, neuromorphic computers and memristors.

Julia Kirch Kirkegaard

Julia Kirch Kirkegaard is an Associate Professor in the Department of Wind and Energy Systems at the Technical University of Denmark. By training, she is a Market Sociologist of Technology, Research, and Innovation, specialising primarily in Actor-Network Theory and Valuation Studies within Science & Technology Studies (STS). She received her PhD from Copenhagen Business School as well as being hired for Postdoc positions at DTU Wind Energy and Stanford University. Her main interest is to try and understand how new technologies are developed, and to explore how seemingly ‘sustainable’ mundane technologies such as wind turbines become legitimized or contested by heterogeneous actors. She recently received the prestigious ERC grant for her research project “Good-by-Devicing – Probing how value comes to matter in the energy transition”

Mahnoosh Alizadeh

Mahnoosh Alizadeh is an Associate Professor in the Department of Electrical & Computer Engineering at the University of California, Santa Barbara (UCSB). Prior to joining UCSB, Dr. Alizadeh obtained her PhD from the University of California Davis and spent time at Stanford University as a postdoctoral scholar. Her research interests include networks, optimization, and data-driven learning algorithms with applications in cyber-physical systems, e.g., smart grids and electric transportation networks.

Rodrigo Moreno

Rodrigo Moreno is a Professor at the Dept. of Electrical Engineering of the University of Chile’s Faculty of Physical and Mathematical Sciences, and a Research Associate at the Dept. of Electrical and Electronic Engineering of Imperial College London. He received his BSc.Eng and MSc.Eng from Pontificia Universidad Catolica de Chile and his PhD from Imperial College London, where he also spent time as a postdoctoral researcher. He has participated in a number of research projects for a variety of institutions such as the UK and Chilean governments and the World Bank. His research focuses on the development of new concepts and models in energy grids to make electricity supply more sustainable, resilient, reliable and affordable through the application of advanced mathematical models, and has been the recipient of an international Newton Prize, which recognises excellent research and innovation, for his efforts.

Spyros Chatzivasileiadis

Spyros Chatzivasileiadis is a Professor and Head of Section for Power Systems at the Department of Wind and Energy Systems at the Technical University of Denmark. He received a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece, and a Ph.D. degree in Electrical Engineering from ETH Zurich. He previously was a postdoctoral researcher at the Lawrence Berkeley National Laboratory followed by time as a postdoctoral researcher at the Massachusetts Institute of Technology. His research interests lie at the cross-section of AI, control, optimization and dynamic systems to ensure the secure operation of electric systems with 100% renewable sources.

Jalal Kazempour

Jalal Kazempour is an Associate Professor and Head of Section for Energy Markets and Analytics in the  Department of Wind and Energy Systems at the Technical University of Denmark, Denmark. He received his M.Sc. degree in Electrical Engineering from Tarbiat Modares University, Iran, and his Ph.D. degree in Electrical Engineering from the University of Castilla-La Mancha, Spain. After his PhD he spent time as a postdoctoral researcher at John Hopkins University. Following this he moved to the Technical University of Denmark as a postdoctoral research and has since progressed to his current position. His research interests lie in data-driven and market-oriented approaches to power system operation and planning, also in coordination with other energy systems. His focus area is the intersection of optimization, control, game theory, and machine learning for energy applications.

Lesia Mitridati

Lesia Mitridati is an Assistant Professor in the Department of Wind and Energy Systems at the Technical University of Denmark, Denmark. She received the M.Sc. degree in Science and Executive Engineering from Mines Paristech and her Ph.D. degree in Electrical Engineering from the Technical University of Denmark. She has spent time as a postdoctoral researcher at the Georgia Institute of Technology and ETH Zürich. Her research focuses on the interface of machine learning and data-driven optimization, with specific interest in the areas of market design for integrated energy systems, flexibility services, local energy communities, and data analytics.

Speakers’ slides

Best poster presentations