Christidis, T.[Tanya],
Law, J.[Jane],
Mapping Ontario's Wind Turbines: Challenges and Limitations,
IJGI(2), No. 4, 2013, pp. 1092-1105.
DOI Link
1402
BibRef
Doubrawa, P.[Paula],
Barthelmie, R.J.[Rebecca J.],
Wang, H.[Hui],
Pryor, S.C.,
Churchfield, M.J.[Matthew J.],
Wind Turbine Wake Characterization from Temporally Disjunct 3-D
Measurements,
RS(8), No. 11, 2016, pp. 939.
DOI Link
1612
BibRef
Kim, H.G.[Hyun-Goo],
Jeon, W.H.[Wan-Ho],
Kim, D.H.[Dong-Hyeok],
Wind Resource Assessment for High-Rise BIWT Using RS-NWP-CFD,
RS(8), No. 12, 2016, pp. 1019.
DOI Link
1612
Wind flow analysis for integrating wind turbine on a high-rise building.
BibRef
Uysal, F.,
Selesnick, I.,
Isom, B.M.,
Mitigation of Wind Turbine Clutter for Weather Radar by Signal
Separation,
GeoRS(54), No. 5, May 2016, pp. 2925-2934.
IEEE DOI
1604
Fourier transforms
BibRef
van Dooren, M.F.[Marijn F.],
Trabucchi, D.[Davide],
Kühn, M.[Martin],
A Methodology for the Reconstruction of 2D Horizontal Wind Fields of
Wind Turbine Wakes Based on Dual-Doppler Lidar Measurements,
RS(8), No. 10, 2016, pp. 809.
DOI Link
1609
BibRef
Kumer, V.M.[Valerie-Marie],
Reuder, J.[Joachim],
Eikill, R.O.[Rannveig Oftedal],
Characterization of Turbulence in Wind Turbine Wakes under Different
Stability Conditions from Static Doppler LiDAR Measurements,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link
1704
BibRef
Beauchamp, R.M.,
Chandrasekar, V.,
Suppressing Wind Turbine Signatures in Weather Radar Observations,
GeoRS(55), No. 5, May 2017, pp. 2546-2562.
IEEE DOI
1705
Doppler radar, geophysical signal processing,
mission effectiveness, precipitation, radar clutter, radar echo,
radar system, turbine radar signature, vegetation,
weather radar observation,
wind turbine signature, Clutter, Doppler radar,
Meteorological radar, Meteorology, Radar cross-sections
BibRef
Beauchamp, R.M.,
Chandrasekar, V.,
Characterization and Modeling of the Wind Turbine Radar Signature
Using Turbine State Telemetry,
GeoRS(55), No. 9, September 2017, pp. 5134-5147.
IEEE DOI
1709
electromagnetic wave scattering, radar cross-sections, telemetry,
wind turbines, X-band radar observation,
scattering theory, turbine radar signature suppression,
turbine state telemetry, utility-scale wind turbine,
Meteorological radar, Radar cross-sections, Telemetry,
radar signal processing, spectral, analysis
See also Dual-Polarization Radar Characteristics of Wind Turbines With Ground Clutter and Precipitation.
BibRef
Simley, E.[Eric],
Fürst, H.[Holger],
Haizmann, F.[Florian],
Schlipf, D.[David],
Optimizing Lidars for Wind Turbine Control Applications:
Results from the IEA Wind Task 32 Workshop,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Fuertes, F.C.[Fernando Carbajo],
Markfort, C.D.[Corey D.],
Porté-Agel, F.[Fernando],
Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars
for Analytical Wake Model Validation,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Beck, H.[Hauke],
Kühn, M.[Martin],
Reconstruction of Three-Dimensional Dynamic Wind-Turbine Wake Wind
Fields with Volumetric Long-Range Wind Doppler LiDAR Measurements,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Zhou, K.[Kai],
Cherukuru, N.[Nihanth],
Sun, X.Y.[Xiao-Yu],
Calhoun, R.[Ronald],
Wind Gust Detection and Impact Prediction for Wind Turbines,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
See also Comments on Wind Gust Detection and Impact Prediction for Wind Turbines.
BibRef
Mayor, S.D.[Shane D.],
Dérian, P.[Pierre],
Comments on 'Wind Gust Detection and Impact Prediction for Wind
Turbines',
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
See also Wind Gust Detection and Impact Prediction for Wind Turbines.
BibRef
Brugger, P.[Peter],
Fuertes, F.C.[Fernando Carbajo],
Vahidzadeh, M.[Mohsen],
Markfort, C.D.[Corey D.],
Porté-Agel, F.[Fernando],
Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler
LiDARs and Model Validation in the Presence of Wind Veer,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Fuertes, F.C.[Fernando Carbajo],
Porté-Agel, F.[Fernando],
Using a Virtual Lidar Approach to Assess the Accuracy of the
Volumetric Reconstruction of a Wind Turbine Wake,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Aird, J.A.[Jeanie A.],
Quon, E.W.[Eliot W.],
Barthelmie, R.J.[Rebecca J.],
Debnath, M.[Mithu],
Doubrawa, P.[Paula],
Pryor, S.C.[Sara C.],
Region-Based Convolutional Neural Network for Wind Turbine Wake
Characterization in Complex Terrain,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Deng, Y.X.[Yu-Xin],
Zhang, M.[Min],
Jiang, W.Q.[Wang-Qiang],
Wang, L.T.[Le-Tian],
Electromagnetic Scattering of Near-Field Turbulent Wake Generated by
Accelerated Propeller,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Sekar, A.P.K.[Anantha Padmanabhan Kidambi],
van Dooren, M.F.[Marijn Floris],
Rott, A.[Andreas],
Kühn, M.[Martin],
Lower Order Description and Reconstruction of Sparse Scanning Lidar
Measurements of Wind Turbine Inflow Using Proper Orthogonal
Decomposition,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Mandroux, N.[Nicolas],
Dagobert, T.[Tristan],
Drouyer, S.[Sébastien],
Grompone von Gioi, R.[Rafael],
Single Date Wind Turbine Detection on Sentinel-2 Optical Images,
IPOL(12), 2022, pp. 198-217.
DOI Link
2207
Code, Wind Turbine.
BibRef
Wang, R.[Rui],
Hu, B.[Bin],
Zhang, H.R.[Hai-Rong],
Zhang, P.Z.[Pei-Zhen],
Li, C.[Canping],
Chen, F.Y.[Feng-Ying],
Seismic Interferometry for Single-Channel Data: A Promising Approach
for Improved Offshore Wind Farm Evaluation,
RS(17), No. 2, 2025, pp. 325.
DOI Link
2502
BibRef
Yang, P.Y.[Pukai-Yuan],
Zou, Z.G.[Zhi-Gang],
Yang, W.[Wu],
Mapping Wind Turbine Distribution in Forest Areas of China Using Deep
Learning Methods,
RS(17), No. 5, 2025, pp. 940.
DOI Link
2503
BibRef
Nietiedt, S.,
Goering, M.,
Willemsen, T.,
Luhmann, T.,
Measurement of Fluid-structure Interaction of Wind Turbines in Wind
Tunnel Experiments: Concept And First Results,
Optical3D19(143-149).
DOI Link
1912
BibRef
Uti, M.N.,
Din, A.H.M.,
Omar, A.H.,
Assessment of Seasonal Variability for Wind Speed And Significant Wave
Height Using Satellite Altimeter Over Malaysian Seas,
GeoDisast18(153-158).
DOI Link
1901
BibRef
Earlier:
Reliability of Wind Speed Data From Satellite Altimeter to Support Wind
Turbine Energy,
GeoDisast17(215-224).
DOI Link
1805
BibRef
Lahmadi, K.,
Boumhidi, I.,
Stabilization analysis of observer-based controller for uncertain and
disturbed T-S fuzzy model: Application to wind turbine,
ISCV18(1-8)
IEEE DOI
1807
Lyapunov methods, control system synthesis, fuzzy control,
nonlinear control systems, observers, pendulums, stability,
uncertainties parameters
BibRef
Elkhadiri, S.,
Elmenzhi, P.L.,
Lyhyaoui, P.A.,
Fuzzy logic control of DFIG-based wind turbine,
ISCV18(1-5)
IEEE DOI
1807
PI control, PWM power convertors, asynchronous generators,
electric current control, fuzzy control, machine vector control,
variable speed wind turbine
BibRef
Rajae, L.,
Ismail, B.,
Optimal nonlinear control for a variable speed wind turbine based on
support vector machine algorithm,
ISCV17(1-6)
IEEE DOI
1710
Aerodynamics, Generators, Mathematical model, Rotors,
Support vector machines, Torque, Wind turbines, MPPT,
Nonlinear state feedback control, Sliding mode control,
Support vector machines, Variable, speed, wind, turbine
BibRef
Aboulem, S.,
Boufounas, E.M.,
Boumhidi, I.,
Optimal tracking and robust intelligent based PI power controller of
the wind turbine systems,
ISCV17(1-7)
IEEE DOI
1710
Particle swarm optimization, Robustness, Rotors,
Sliding mode control, Torque, Wind turbines,
Integral sliding mode control, Particle swarm optimization,
BibRef
Boufounas, E.M.,
Berrada, Y.,
Koumir, M.,
Boumhidi, I.,
A robust intelligent control for a variable speed wind turbine based
on general regression neural network,
ISCV15(1-6)
IEEE DOI
1506
backpropagation
BibRef
Zhi-Feigao,
Xie, Y.[Yuan],
Xu, Y.B.[Yong-Bin],
Wang, Y.H.[Yong-Hai],
Research of wind turbine gearbox vibration signal based on the
wavelet analysis,
ICWAPR15(58-63)
IEEE DOI
1511
gears
BibRef
Rodríguez, G.[Germán],
Fuciños, M.[Maria],
Pardo, X.M.[Xosé M.],
Fdez-Vidal, X.R.[Xosé R.],
Videogrammetry System for Wind Turbine Vibration Monitoring,
IbPRIA15(505-513).
Springer DOI
1506
BibRef
Lv, Y.G.[Yue-Gang],
Guan, N.[Ning],
Liu, J.C.[Jun-Cheng],
Cai, T.Q.[Teng-Qian],
The fault diagnosis of rolling bearing in gearbox of wind turbines
based on second generation wavelet,
ICWAPR14(43-49)
IEEE DOI
1402
Fault diagnosis
BibRef
Zhao, R.[Rui],
Iqbal, M.R.A.,
Bennett, K.P.,
Ji, Q.A.[Qi-Ang],
Wind turbine fault prediction using soft label SVM,
ICPR16(3192-3197)
IEEE DOI
1705
Economic indicators, Sensors, Support vector machines,
Time series analysis, Training, Wind energy, Wind, turbines
BibRef
Akhloufi, M.[Moulay],
Benmesbah, N.[Nassim],
Outdoor Ice Accretion Estimation of Wind Turbine Blades Using
Computer Vision,
CRV14(246-253)
IEEE DOI
1406
Blades
BibRef
Chapter on Optical Flow Field Computations and Use continues in
Surface Reconstruction from Optical Flow .