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Tuhfe Gocmen
Tuhfe Gocmen
Senior Researcher DTU Wind and Energy Systems
Verified email at dtu.dk
Title
Cited by
Cited by
Year
Wind turbine wake models developed at the technical university of Denmark: A review
T Göçmen, P Van der Laan, PE Réthoré, AP Diaz, GC Larsen, S Ott
Renewable and Sustainable Energy Reviews 60, 752-769, 2016
4052016
Wind farm flow control: prospects and challenges
J Meyers, C Bottasso, K Dykes, P Fleming, P Gebraad, G Giebel, ...
Wind Energy Science Discussions 2022, 1-56, 2022
1942022
Airfoil optimization for noise emission problem and aerodynamic performance criterion on small scale wind turbines
T Göçmen, B Özerdem
Energy 46 (1), 62-71, 2012
1312012
Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain
J Yan, C Möhrlen, T Göçmen, M Kelly, A Wessel, G Giebel
Renewable and Sustainable Energy Reviews 165, 112519, 2022
872022
Estimation of turbulence intensity using rotor effective wind speed in Lillgrund and Horns Rev-I offshore wind farms
T Göçmen, G Giebel
Renewable energy 99, 524-532, 2016
752016
Expert elicitation on wind farm control
JW van Wingerden, PA Fleming, T Göçmen, I Eguinoa, BM Doekemeijer, ...
Journal of Physics: Conference Series 1618 (2), 022025, 2020
622020
Optimizing wind farm control through wake steering using surrogate models based on high-fidelity simulations
P Hulsman, SJ Andersen, T Göçmen
Wind Energy Science 5 (1), 309-329, 2020
492020
Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm
T Duc, O Coupiac, N Girard, G Giebel, T Göçmen
Wind Energy Science 4 (2), 287-302, 2019
462019
Turbine control strategies for wind farm power optimization
M Mirzaei, T Göçmen, G Giebel, PE Sĝrensen, NK Poulsen
2015 American Control Conference (ACC), 1709-1714, 2015
362015
Virtual sensors for wind turbines with machine learning‐based time series models
N Dimitrov, T Göçmen
Wind Energy 25 (9), 1626-1645, 2022
332022
Data-driven wake modelling for reduced uncertainties in short-term possible power estimation
T Göçmen, G Giebel
Journal of physics: conference series 1037 (7), 072002, 2018
322018
Wind speed estimation and parametrization of wake models for downregulated offshore wind farms within the scope of PossPOW project
TG Bozkurt, G Giebel, NK Poulsen, M Mirzaei
Journal of Physics: Conference Series 524 (1), 012156, 2014
262014
Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis
I Eguinoa, T Göçmen, PB Garcia‐Rosa, K Das, V Petrović, K Kölle, ...
Advanced Control for Applications: Engineering and Industrial Systems 3 (3), e80, 2021
232021
Possible Power Estimation of Down-Regulated Offshore Wind Power Plants.
T Gögmen
Technical University of Denmark, 2016
232016
LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis
J Liew, SJ Andersen, N Troldborg, T Göçmen
Journal of Physics: Conference Series 2265 (2), 022069, 2022
212022
Streaming dynamic mode decomposition for short‐term forecasting in wind farms
J Liew, T Göçmen, WH Lio, GC Larsen
Wind Energy 25 (4), 719-734, 2022
212022
FarmConners wind farm flow control benchmark–Part 1: Blind test results
T Göçmen, F Campagnolo, T Duc, I Eguinoa, SJ Andersen, V Petrović, ...
Wind Energy Science 7 (5), 1791-1825, 2022
192022
Possible power of down‐regulated offshore wind power plants: The PossPOW algorithm
T Göçmen, G Giebel, NK Poulsen, PE Sĝrensen
Wind Energy 22 (2), 205-218, 2019
172019
Introducing a data-driven approach to predict site-specific leading-edge erosion from mesoscale weather simulations
J Visbech, T Göçmen, CB Hasager, H Shkalov, M Handberg, KP Nielsen
Wind Energy Science 8 (2), 173-191, 2023
162023
FarmConners Market Showcases Results: Wind farm flow control considering electricity prices and revenue
K Kölle, T Göçmen, I Eguinoa, LA Alcayaga Román, M Aparicio-Sanchez, ...
Wind Energy Science Discussions 2022, 1-29, 2022
142022
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