The program will be announced when it has been finalized. For the general activities, please see the information below.
Panel session with experts
Social activities and networking
Keynotes and lectures
During the 5-day course distinguished speakers, excelling both in research and teaching, give talks about the latest developments in research for energy systems. By clicking in the buttons below you can find the details of each of the summer school’s talks.
Title: Evolution and Future Needs of U.S. ISO Markets Abstract: We trace the history and market design of U.S. ISO electricity markets. We examine what needs to be done to complete the transition for ISO market designs including optimization and pricing in non-convex electricity markets. In addition, we examine the needed reforms for planning grid expansion.
Title : Hybrid Electricity Markets to Support Variable Renewable Energy and Storage Abstract : The lecture will discuss “hybrid electricity markets” and their role in supporting investments in wind and solar generation and storage. What are “hybrid electricity markets?” Why do they play a potentially important role in supporting timely and efficient investment in variable renewable energy technologies and storage? How should purchased power agreements (PPA) be designed to efficiently integrate PPAs with short-term electricity markets. What risks are associated with relying heavily on hybrid markets? Empirical examples will be drawn primarily from U.S. and UK experience.
Title: Strong Conic Relaxations for Applications in Energy Systems Abstract : Conic relaxations, particularly second-order cone programming (SOCP) and semidefinite programming (SDP), have emerged as powerful tools for addressing polynomial optimization problems in energy systems. By leveraging their ability to provide tight relaxations and enhance computational efficiency, SOCP and SDP enable scalable solutions. This lecture provides an overview of their strengths and key applications within the power systems domain, showcasing their role in solving non-linear optimization problems including optimal power flow (OPF), transmission expansion planning, and optimal transmission switching.
Title: Power System Reliability with Deep Learning
Abstract : Expanding grids with renewable energy challenges their reliability. Methods from deep learning offer vast opportunities for monitoring the reliability of the distribution and transmission system. This talk briefly introduces the fundamentals of neural networks over convolutional to graph neural networks. However, when applying supervised learning neural networks training data is needed. Power systems have inherent data imbalances and noise. From data to model, this talk develops a machine-learning workflow for grids on two examples (a) transmission system dynamic security assessment and (b) distribution system state estimation.
Topics covered:
Part A: Security assessment and data in control rooms - Balancing datasets
- Optimisation-based sampling
- Model requirements in control rooms
Part B: Learning models for secure system operation> - Interpretable models
- CNNs and Graph Neural Networks
- Learning with domain knowledge
- Cost-sensitive learning
- End-to-end learning for secure operation
Title: Mechanism Design for Optimal and Differentially Private Data Acquisition Abstract : TBD
Academics: Jalal Kazempour, Lesia Mitridati, Licio Romao, and Spyros Chatzivasileiadis Title: Learning and Optimization for Decision-Making Under Uncertainty in Energy Systems: What Techniques for What Applications? Abstract : This talk explores cutting-edge applications of learning and contextual optimization techniques in power systems operating under uncertainty. We compare methods such as physics-informed neural networks, reinforcement learning, contextual optimization, and decision-focused learning, providing insights into their effectiveness for various applications in power systems, including forecasting, electricity market bidding, security assessment, and control problems. Through a problem-based lecture and panel discussion the attendees will gain a deeper understanding of how these innovative strategies can enhance decision-making processes in real-life applications.
Title: Designing Electricity Markets Abstract : This lecture will explore the evolving challenges in electricity market design as renewable energy takes center stage. We will start with a practical introduction to the functioning of electricity markets, followed by a detailed analysis of key regulatory challenges in the design of short-term electricity markets and long-term contract markets. The course combines applied economic theory with empirical applications, offering a balance between conceptual understanding and real-world insights. Command of commonly used economic tools is a recommended prerequisite for this lecture.
The full schedule of the summer school can be found below:
Poster session
Please prepare a poster on your current, past or future research! The two best posters selected by all participants on day 1 will have a chance to be presented orally on day 2 or day 4. Information on poster printing and presentation schedule will be shared closer to start of the summer school.
Social activities and networking
Multiple events during the summer school are dedicated to giving you the opportunity to see what Denmark has to offer as well as allow you to meet your fellow summer school participants and foster relationships that can build your network and hopefully lead to future research collaborations.
Lunch and snacks
To make sure you have enough energy throughout the day we provide vegetarian lunch and snacks for all participants of the summer school.