Projects per year
Organisation profile
Introduction / mission
Through our research endeavors, we strive to drive innovation and shape the future of power and energy systems. By embracing digitalization, artificial intelligence, smart planning, optimization, and component monitoring, we aim to create sustainable, resilient, and intelligent energy systems that meet the evolving needs of our society.
Organisation profile
1. Digital Power and Energy Systems (DigiPES): We explore the integration of digital technologies into power and energy systems. From advanced sensing and monitoring to data analytics and control algorithms, we strive to develop intelligent solutions that enhance system performance, reliability, and efficiency
2. AI in Power and Energy Systems: Leveraging the power of artificial intelligence, we investigate how machine learning, deep learning, and other AI techniques can revolutionize power and energy systems. By harnessing the capabilities of AI, we aim to optimize system operation, enable predictive maintenance, and facilitate intelligent decision-making processes.
3. Smart Planning and Operation: We focus on developing smart planning and operation strategies for power and energy systems. Through innovative methodologies and tools, we aim to optimize resource allocation, grid expansion, and system operation, taking into account factors such as renewable integration, demand response, and grid resilience.
4. Electricity Markets and Power System Optimization (EMPSO lab): Our research group delves into the intricacies of electricity markets and power system optimization. We investigate novel market designs, pricing mechanisms, and optimization algorithms to ensure efficient and fair allocation of resources, promote renewable integration, and support grid stability.
5. Monitoring and Diagnostics of Components: We emphasize the development of advanced monitoring and diagnostic techniques for power system components. By employing state-of-the-art sensing technologies and data analytics, we aim to enhance the reliability, performance, and lifespan of critical components, such as transformers, generators, and transmission lines.
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Collaborations and top research areas from the last five years
Profiles
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Wouter F. van den Akker
- Electrical Engineering, Electrical Energy Systems - TU/e Fellow
- Electrical Engineering, Intelligent Energy Systems
Person: OBP : Supportive and management staff, OWP : University Teacher / Researcher
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J.K. (Koen) Kok
- Electrical Engineering, Electrical Energy Systems - Full Professor
- Electrical Engineering, Intelligent Energy Systems
- EIRES Research - Full Professor
Person: HGL : Professor
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Anne van der Molen
- Electrical Engineering, Intelligent Energy Systems
- Electrical Engineering, Electrical Energy Systems - University Researcher
Person: OWP : University Teacher / Researcher, OWP : University Teacher / Researcher
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REACT-D: Reactive Power Management in the Transmission and Distribution Network TKI2221
Nguyen, P. H. (Project Manager), Shuvarina, A. (Project member) & Javed, A. H. (Project member)
1/06/23 → 30/05/27
Project: Third tier
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TwinTES: Twining thermal - electrical integrated storage to enable energy hubs (BEHeaT C2)
Nguyen, P. H. (Project Manager), Tran, T. T. (Project member), Hoes, P.-J. (Project member) & Thien Huu Nguyen, A. (Project member)
1/01/23 → 31/12/26
Project: First tier
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Generic Dynamic Cable Rating TKI 2121501
Yaqoob, Y. (Project member), van der Wielen, P. C. J. M. (Project member), Morren, J. (Project Manager) & Slootweg, J. G. (Project member)
1/01/23 → 28/02/27
Project: Third tier
Research output
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A parametric survival regression framework using additive Weibull for transformer reliability
Brekelmans, N. (Corresponding author), Zhang, Y., Nguyen, P. H., van der Molen, A. & van der Wielen, P., Jan 2027, In: Electric Power Systems Research. 262, 7 p., 113542.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile12 Downloads (Pure) -
Modeling air source heat pumps under severe frosting conditions and evaluating performance during demand response events
Markus, J. J. (Corresponding author), Papadimitriou, C., Havinga, L. C. & Kok, J. K. A. H. P. J., Jan 2027, In: Electric Power Systems Research. 262, 7 p., 113520.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile12 Downloads (Pure) -
Physics-informed reward framework for virtual inertia control in VSG
Nguyen, K. T., Truong, H. H. B. (Corresponding author), Blaauwbroek, N. & Nguyen, P. H., Feb 2027, In: Electric Power Systems Research. 263, 8 p., 113797.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure)
Prizes
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Best paper award
Paterakis, N. G. (Recipient), 2025
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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ISGAN Excellence Award- Honorable mention
Papadimitriou, C. (Recipient), 25 Aug 2025
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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IEEE Transactions on Systems, Man, and Cybernetics: Systems (Journal)
Paterakis, N. G. (Editorial board member)
2025 → …Activity: Publication peer-review and editorial work types › Editorial activity › Scientific
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Eindhoven University of Technology (Organisational unit)
Paterakis, N. G. (Chair)
2025 → 2029Activity: Membership types › Membership of network › Professional
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Insulation in High-, Medium- & Low-Vacuum Space and Terrestrial Applications
Wouters, P. A. A. F. (Speaker)
23 Mar 2023Activity: Talk or presentation types › Invited talk › Scientific
Press/Media
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Active Distribution Network Management in Low Voltage Grids
24/01/25
1 Media contribution
Press/Media: Public Engagement Activities
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Local energy communities: the first all-in-one toolbox to create and operate them
16/11/23
1 item of Media coverage
Press/Media: Expert Comment
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GLOBAL ROUND UP SECTOR WEEKLY: UNIVERSITY NEWSLETTER OF WEEK-ENDED NOV 12, 2023
13/11/23
1 item of Media coverage
Press/Media: Expert Comment
Student theses
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A comparison of model-based and model-free offline Reinforcement learning methods for Electric Vehicle smart charging optimization
Rahali, H. (Author), Nguyen, P. H. (Supervisor 1), Nov 2024Student thesis: Master
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Adaptive Distributionally Robust Optimization for Residential Energy Management under Non-firm Capacity Contracts
Caipa Cure, F. D. (Author), Paterakis, N. G. (Supervisor 1) & Jin, L. (Supervisor 2), 8 Oct 2024Student thesis: Master
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Aggregator response to price signals from transmission system operators and wholesale market
Lei, R. (Author), Kok, J. K. (Supervisor 1), 29 Jan 2025Student thesis: Master
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