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ISAP has already organized 20 ISAP conferences. Please make sure that you don’t miss the information about the 21st International Conference on Intelligent Systems Applications to Power Systems (ISAP’24)!

22nd International Conference on Intelligent Systems Applications to Power Systems

16th – 19th September, 2024
Budapest, Hungary

Important Dates
Full Paper Submission: 15th May
Full Paper Submission: 1st May
Notification of Acceptance: 1st June
Final Paper Submission: 1st July
Early Bid Registration: 16th June
Final deadline for Registration: 1st August
Conference: 16th – 19th September

Join us at 2024 ISAP Conference, where academia, industry, and students will get together to discuss how the latest advances on Artificial Intelligence (AI) can impact the way in which Power and Energy Systems (PES) are planned, operated and controlled. How can we take advantage of AI concepts and methods to ensure sustainable, efficient, and user-centric PES? Bring your ideas and participate in a dynamic program with workshops, panel sessions, paper presentations, and multiple opportunities to participate in live discussions, reinforce your connections, and enlarge your network.

Participate in ISAP 2024 to engage in discussions about the planning, operation, control, and maintenance of large interconnected power systems, isolated or weakly interconnected power systems, energy communities, and different types of electric installations. Let’s discuss about power system operation in a competitive environment, renewable energy, and distributed generation. Impact the Community vision on user-centric PES, with a close vision to the buildings where we work, shop or attend to movies and meet friends. Or immerse yourself in live discussions regarding our Sustainable and Intelligent Energy Future, from our smart homes to the different platforms to buy and sell energy and energy services.

How can we contribute to a more sustainable, efficient, and happier future? Bring home new ideas and make they grow toward this goal! The ISAP Community will get larger, stronger, and refreshed and contribute to pave the way for Future Sustainable and Intelligent Power and Energy Systems.


Dear friends of the ISAP community:

As many of you know, our dear friend and colleague, Dagmar Niebur, passed away on July 10, 2023. Dagmar had been suffering from kidney cancer for many years. She far outlived the original prognosis and led many of us to false hope her illness could be overcome. Thus, the news that she passed away is shocking to all of us.  

Dagmar had been a faculty member at Drexel University since 1996. She was one of the pioneers in applying artificial neural networks to power systems. She published extensively and gave many presentations on related subjects. Furthermore, her leadership and service for the profession is unparalleled. For example, Professor Niebur played a leadership role in the Board of Directors of International Council on Intelligent System Applications to Power Systems (ISAP). She served as a Program Director for Power, Controls and Adaptive Networks (PCAN) at U.S. National Science Foundation. Dr. Niebur also chaired the IEEE PES Technical Committee on Power System Analysis, Computing and Economics (PSACE). Her distinguished leadership and service record is truly exemplary. But more importantly, her personal warmth, integrity and support for her colleagues will be sorely missed.

Many of us have known Dagmar ever since she was a Ph.D. student at EPFL, Lausanne, Switzerland, and observed every step of her career. Her passing is a great loss not only to us personally in the ISAP community, but also to her many colleagues and the professional communities that she contributed to.

If you, as Dagmar’s colleague, have a remembrance you wish to share, please send it to us. We will gather these and forward to her husband, Ernst Niebur, who is a professor at Johns Hopkins, and their son, Tobias, who is a graduate student at Hopkins.

Brief Bio

Dr. Niebur joined Drexel University in March 1996. From 2007 to 2009, she served at the National Science Foundation (NSF) on an IPA assignment from Drexel University. At NSF she served as the Program Director for the Power, Controls and Adaptive Networks (PCAN) Program of the Electrical, Communications and Cyber Systems (ECCS) Division in the Directorate for Engineering (ENG). Her responsibilities within the PCAN program included power and energy networks as well as alternate energy sources.

Before joining Drexel, she held research positions at the Jet Propulsion Laboratory, Pasadena, CA, and the Swiss Federal Institute of Technology as well as a computer engineering position at the University of Lausanne and a summer visiting professor appointment at CEPEL, Brazil.

Dr. Niebur’s research has been funded by the National Science Foundation, the US Department of Energy, the Office of Naval Research, the Electric Power Research Institute and others. She is a recipient of an NSF CAREER award. Dr. Niebur co-authored over 100 refereed publications. In addition, she is the co-editor of the first book on neural networks for power systems, the IEEE Power Engineering Society (IEEE-PES) Tutorial Lecture Notes, and Educational Video Series on the same topic.

Recent professional service includes:

  • Chairing of the IEEE-PES Technical Committee on Power System Analysis, Computing and Economics
  • Founding member of the IEEE PES Pus Scholarship Initiative
  • Editor for the IEEE Transactions on Power Systems
  • Associate Editor for the American Control Conference
  • Member of the Editorial Advisory Board of the International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications
  • Technical vice-chair and proceedings editor of the International Conference on Intelligent Systems for Power Systems (ISAP) 2005 and 2007
  • Member of ISAP’s Board of Directors
  • Technical committee membership of the IFAC Symposium on Power, Plants and Power Systems Control, Power System Computation Conference


  • Diplom-Mathematikerin, Mathematics, University of Dortmund, Germany
  • Informaticienne Diplômée, Computer Science, Swiss Federal Institute of Technology, Lausanne, Switzerland

Dr. ès science techniques, Swiss Federal Institute of Technology, Lausanne, Switzerland, 1994