Researching future offshore grids with advanced wind farm controls.
Education
Ph.D. in Electric Power Engineering,
Thesis: "Data-driven methods for sizing and control of energy storage systems", Norwegian University of Science and Technology (NTNU, 2023).
MSc in Automation Systems, National Technical University of Athens (NTUA, 2016)
Diploma in Mechanical Engineering , National Technical University of Athens (NTUA, 2016)
Competence and research areas
My main research interests include data-driven energy management and control algorithms, optimization under uncertainty, and statistical/machine learning methods applied to power systems.
Linkedin
https://gr.linkedin.com/in/spiros-chapaloglou
ResearchGate
https://www.researchgate.net/profile/Spyridon-Chapaloglou
ORCID
https://orcid.org/my-orcid?orcid=0000-0001-8624-4716
