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Research profile

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.

Academic background

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.

Quote

Embedding data-driven, scalable and risk-aware optimization techniques in all the levels of the power system is the key to enhancing the resilience of the grid, enabling new market models and combating societal challenges such as energy poverty.

Education/Academic qualification

University of Beira Interior, R. Fonte do Lameiro

Sep 2013Dec 2015

Aristotle University of Thessaloniki

Oct 2008Jul 2013

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Linear programming Engineering & Materials Science
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Electricity Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2020

  • 1146 Citations
  • 43 Conference contribution
  • 28 Article
  • 6 Chapter
  • 1 Phd Thesis 4 Research NOT TU/e / Graduation NOT TU/e)

A class-driven approach based on long short-term memory networks for electricity price scenario generation and reduction

Stappers, B., Paterakis, N. G., Kok, J. K. K. & Gibescu, M., 13 Jan 2020, (Accepted/In press) In : IEEE Transactions on Power Systems.

Research output: Contribution to journalArticleAcademicpeer-review

Electricity
Decision making
Neural networks
Uncertainty
Power markets
2 Downloads (Pure)

Implementation of large-scale Li-ion battery energy storage systems within the EMEA region

Killer, M., Farrokhseresht, M. & Paterakis, N. G., 15 Feb 2020, In : Applied Energy. 260, 114166.

Research output: Contribution to journalArticleAcademicpeer-review

Energy storage
ion
Circuit theory
Europe
energy storage
23 Downloads (Pure)

Introducing technical indicators to electricity price forecasting: a feature engineering study for linear, ensemble, and deep machine learning models

Demir, S., Mincev, K., Kok, J. K. K. & Paterakis, N. G., 1 Jan 2020, In : Applied Sciences. 10, 1, 18 p., 255.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
machine learning
electricity
forecasting
Learning systems
Electricity

Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model

Maheshwari, A., Paterakis, N. G., Santarelli, M. & Gibescu, M., 1 Mar 2020, In : Applied Energy. 261, 10 p., 114360.

Research output: Contribution to journalArticleAcademicpeer-review

lithium
Energy storage
Degradation
degradation
ion
1 Citation (Scopus)
2 Downloads (Pure)

A hybrid robust-stochastic approach for the day-ahead scheduling of an EV aggregator

Minniti, S., Haque, A. N. M. M., Paterakis, N. G. & Nguyen, P. H., 1 Jun 2019, 2019 IEEE Milan PowerTech, PowerTech 2019. Piscataway: Institute of Electrical and Electronics Engineers, 6 p. 8810412

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Electric vehicles
Scheduling
Stochastic programming
Energy resources
Costs

Prizes

Best Paper Award. IEEE International Conference on Smart Energy Grid Engineering (SEGE’15)

N.G. Paterakis (Recipient), Agustin Sanchez de la Nieta Lopez (Recipient), A. V. Ntomaris (Recipient), A. G. Bakirtzis (Recipient), J. Contreras (Recipient) & J. P. S. Catalão (Recipient), 2015

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Risk management

IEEE SEGE 2015 Best Paper Award

Nikolaos Paterakis (Recipient), 2015

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

IEEE Transactions on Smart Grid Best Reviewer

Nikolaos Paterakis (Recipient), 2017

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

IEEE Transactions on Smart Grid Best Reviewer

Nikolaos Paterakis (Recipient), 2015

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

IEEE Transactions on Sustainable Energy Outstanding Reviewer

Nikolaos Paterakis (Recipient), 2016

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Activities 2018 2019

  • 2 Editorial activity

Applied Sciences (Journal)

Nikolaos Paterakis (Editorial board member)
2019 → …

Activity: Publication peer-review and editorial work typesEditorial activityScientific

IET Renewable Power Generation (Journal)

Nikolaos Paterakis (Editorial board member)
20182021

Activity: Publication peer-review and editorial work typesEditorial activityScientific

Courses

Student theses

Maximizing DER penetration in distribution notworks

Author: Kujovic, L., Jan 2020

Supervisor: Farrokhseresht, M. (Supervisor 1) & Paterakis, N. (Supervisor 2)

Student thesis: Bachelor

Optimization model for maintenance planning: an affix to asset life cycle planning

Author: Stam, D., 21 Dec 2018

Supervisor: Alkemade, F. (Supervisor 1), Slootweg, J. (Supervisor 2) & Paterakis, N. (Supervisor 2)

Student thesis: Master

File

Underground trading: a study on market-based congestion management in the distribution grid

Author: Kil, B., 30 Apr 2018

Supervisor: Alkemade, F. (Supervisor 1), Verbong, G. (Supervisor 2), Gibescu, M. (Supervisor 2) & Paterakis, N. (Supervisor 2)

Student thesis: Master

File