Publications per year
Publications per year
Personal profile
Research areas
Control and state estimation of dynamical systems, Model predictive control, Kalman filtering
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Ph.D. in Automatic Control and Systems Engineering, University of Sheffield
2013 → 2017
M.Eng. in Electrical and Electronic Engineering, Imperial College London
2008 → 2012
External positions
Researcher, Technical University of Denmark
2019 → …
Postdoc, Technical University of Denmark
2017 → 2019
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A control-oriented model for floating wind turbine stability and performance analysis
Pegalajar-Jurado, A. & Lio, A. W. H., 2023, EERA DeepWind conference 2023. IOP Publishing, Vol. 2626. 12 p. 012068. (Journal of Physics: Conference Series).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile7 Downloads (Pure) -
Experimental study of floating wind turbine control on a Tetra-sub floater with tower velocity feedback gain
Meng, F., Lio, W. H., Pegalajar-Jurado, A., Pierella, F., Hofschulte, E. N., Santaya, A. G. & Bredmose, H., 2023, In: Renewable Energy. 205, p. 509-524 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile72 Downloads (Pure) -
Extending the dynamic wake meandering model in HAWC2Farm: A comparison with field measurements at the Lillgrund wind farm
Liew, J., Göçmen, T., Lio, A. W. H. & Larsen, G. C., 2023, In: Wind Energy Science. 8, 9, p. 1387-1402 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile8 Downloads (Pure) -
Model-free closed-loop wind farm control using reinforcement learning with recursive least squares
Liew, J., Göçmen, T., Lio, W. H. & Larsen, G. C., 2023, (Accepted/In press) In: Wind Energy. 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Real‐time rotor effective wind speed estimation based on actuator disc theory: Design and full‐scale experimental validation
Lio, A. W. H., Meng, F. & Larsen, G. C., 2023, In: Wind Energy. 26, 11, p. 1123-1139 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile
Projects
- 2 Finished
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Wind farm control optimization based on multi-fidelity wind farm modeling
Liew, J. Y., Lio, A. W. H., Eguinoa, I., Larsen, G. C., Göçmen, T., Lio, A. W. H. & Porté-Agel, F.
01/01/2020 → 31/08/2023
Project: PhD
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PowerKey: PowerKey - Enhanced Wind Turbine Control for Optimized Wind Power Plant Operation
Larsen, G. C., Lio, A. W. H., Dong, L., Meng, F., Galinos, C., Thorsen, G. R. & Meseguer Urban, A.
01/10/2017 → 31/01/2021
Project: Research
Activities
- 1 Conference presentations
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Gust and rain detection for lidar assited control
Ásta Hannesdóttir (Speaker), Albert Meseguer Urban (Other), Nikolaos Kouris (Other), Filip Spasov (Other), Anna-Maria Tilg (Other), Charlotte Bay Hasager (Other), Gunner Chr. Larsen (Other), Alan Wai Hou Lio (Other) & Antoine Larvol (Other)
26 May 2021Activity: Talks and presentations › Conference presentations
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