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Spyridon Chapaloglou

Research Scientist

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

Contact info

Visiting address:
Prinsens gate 1
7013 Trondheim