Gerwin Hoogsteen received the PhD degree from the University of Twente in 2017 with his thesis “A Cyber-Physical Systems Perspective on Decentralized Energy Management”. He is currently employed as permanent researcher in the field of smart grids within the Computer Architecture for Embedded Systems chair, with a focus on applying theoretical research in field-tests. His research interest is in energy management for smart grids, and in particular where it concerns multi-disciplinary research and cyber-physical systems. Current research directions include the use of machine learning and artificial intelligence in smart grids, distributed coordination, and cyber-security of smart grids. Hoogsteen is the founder and maintainer of the DEMKit and ALPG software.
A comic about my research by LUVANE. It symbolizes different kinds of devices as batteries, indicating that these devices have inherent energy flexibility to draw power from the grid at different moments in time. This flexibility is the key to match demand with the supply of renewable energy, and hence essential for a sustainable future.
Google Scholar statistics:
h-index: 9 | i10-index: 9
SciVal statistics (interval 2015 – 2019):
Field-weighted citation impact: 2.19 | Citation count: 126 | Citations per publication: 6.6
National (the Netherlands)
Current Courses and Workshops:
Supervision of PhD students
Bart Nijenhuis, Aswin Ramesh Vadavathi, Edmund Schaefer
Supervision of MSc students
Jan Oene Krist (EMSYS), Robbert Cornelissen (SET), Qiang Fu (EMSYS), Jorrit Nutma (EMSYS), Klaas Hoekstra (EMSYS), Yinping Dai (SET), Sytze Buruma (SET), Sriganesh Karuppannan (SET), Aditya Pappu (SET), Josefien Tiel Groenesteege (SET), Jules van Dijk (SET), Vishnu Shankar Ramesh (SET)
DEMKit | Decentralized Energy Management toolKit
Maintainer of the open-source DEMKit simulation and demonstration software. Several PhD and MSc students at the University of Twente use this software. DEMKit is currently also in use by Saxion UAS staff, and gains attention in the research community.
ALPG | Artificial Load Profile Generator
Maintainer of the open-source ALPG tool to generate benchmark sets for smart grid control systems and scheduling algorithms.
Journals: MDPI Energies, Elsevier Sustainable Energy Technologies and Assessments
Conferences: IEEE PES Innovative Smart Grids
2017 | PhD – University of Twente, Enschede, the Netherlands
2013 | Master Embedded Systems – University of Twente, Enschede, the Netherlands