Nikolaos Paterakis is assistant professor of Power System Optimization and Electricity Markets with the research group Electrical Energy Systems at the TU/e department of Electrical Engineering. His research interests include applications of optimization and machine learning techniques in power system and electricity market problems, focusing mainly on the integration of renewables and smart grid enabling technologies. He has authored and co-authored more than 50 publications in related topics.
Nikolaos Paterakis studied at the Department of Electrical and Computer Engineering of the Aristotle University of Thessaloniki (Greece), where he received his Dipl.Eng. degree in 2013. In September 2013, he joined the Department of Electromechanical Engineering at the University of Beira Interior (Covilhã, Portugal). In 2015, he received his PhD in Industrial Engineering and Management (cum laude), working in the EU FP7 Project SiNGULAR. He then became a post-doctoral fellow at the department of Electrical Engineering at Eindhoven University of Technology (TU/e, The Netherlands). In 2015 and 2016 he also was a consultant engineer in a research project funded by the Energy Market Regulatory Authority of Turkey (EPDK) where he worked closely with the Bosporus Distribution System Operator (Istanbul, Turkey). In 2017, he was appointed assistant professor in Power System Optimization and Electricity Markets with the research group Electrical Energy Systems at TU/e.
Novel incentive mechanism for end-users enrolled in DLC-based demand response programs within stochastic planning contextIEEE Transactions on Industrial Electronics (2019)
Combining the flexibility from shared energy storage systems and DLC-based demand response of HVAC units for distribution system operation enhancementIEEE Transactions on Sustainable Energy (2019)
Power system protection with digital overcurrent relaysElectric Power Systems Research (2018)
An uncertainty-aware online planning algorithm for the sustainable electrification of festivals2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 (2018)
Local energy exchange considering heterogeneous prosumer preferences2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 (2018)
- Power system analysis and optimization
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