Time-Averaged Wind Turbine Wake Flow Field Prediction Using Autoencoder Convolutional Neural Networks
出版年份 2021 全文链接
标题
Time-Averaged Wind Turbine Wake Flow Field Prediction Using Autoencoder Convolutional Neural Networks
作者
关键词
-
出版物
Energies
Volume 15, Issue 1, Pages 41
出版商
MDPI AG
发表日期
2021-12-22
DOI
10.3390/en15010041
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow
- (2021) Taichi Nakamura et al. PHYSICS OF FLUIDS
- Clustering sparse sensor placement identification and deep learning based forecasting for wind turbine wakes
- (2021) Naseem Ali et al. Journal of Renewable and Sustainable Energy
- Advancement of an analytical double-Gaussian full wind turbine wake model
- (2021) Aidan Keane RENEWABLE ENERGY
- Artificial Neural Networks based wake model for power prediction of wind farm
- (2021) Zilong Ti et al. RENEWABLE ENERGY
- Region-Based Convolutional Neural Network for Wind Turbine Wake Characterization in Complex Terrain
- (2021) Jeanie A. Aird et al. Remote Sensing
- Effect of Inlet Turbulent Boundary Conditions on Scour Predictions of Coupled LES and Morphodynamics in a Field-Scale River: Bankfull Flow Conditions
- (2020) A. Khosronejad et al. JOURNAL OF HYDRAULIC ENGINEERING
- Unsteady numerical investigation of the full geometry of a horizontal axis wind turbine: Flow through the rotor and wake
- (2020) P. García Regodeseves et al. ENERGY
- A short note on the simulation of turbulent stratified flow and mobile bed interaction using the continuum coupled flow and morphodynamics model
- (2020) Ali Khosronejad et al. ENVIRONMENTAL FLUID MECHANICS
- Machine-Learning-Based Surrogate Modeling of Aerodynamic Flow Around Distributed Structures
- (2020) Jincheng Zhang et al. AIAA JOURNAL
- Wind turbine power modelling and optimization using artificial neural network with wind field experimental data
- (2020) Haiying Sun et al. APPLIED ENERGY
- Large eddy simulations of wind turbine wakes in typical complex topographies
- (2020) Zhenqing Liu et al. WIND ENERGY
- Quantifying structural uncertainties in Reynolds-averaged Navier–Stokes simulations of wind turbine wakes
- (2020) Simon D. Hornshøj-Møller et al. RENEWABLE ENERGY
- A new analytical model for wind turbine wakes based on Monin-Obukhov similarity theory
- (2019) Yu Cheng et al. APPLIED ENERGY
- Effect of wind turbine nacelle on turbine wake dynamics in large wind farms
- (2019) Daniel Foti et al. JOURNAL OF FLUID MECHANICS
- Fast flow field prediction over airfoils using deep learning approach
- (2019) Vinothkumar Sekar et al. PHYSICS OF FLUIDS
- Wind-Turbine and Wind-Farm Flows: A Review
- (2019) Fernando Porté-Agel et al. BOUNDARY-LAYER METEOROLOGY
- Numerical study of wind turbine wakes over escarpments by a modified delayed detached eddy simulation
- (2019) Guo-Wei Qian et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Large-Eddy Simulation of Yawed Wind-Turbine Wakes: Comparisons with Wind Tunnel Measurements and Analytical Wake Models
- (2019) Mou Lin et al. Energies
- Wake modeling of wind turbines using machine learning
- (2019) Zilong Ti et al. APPLIED ENERGY
- Numerical investigation of the average wind speed of a single wind turbine and development of a novel three-dimensional multiple wind turbine wake model
- (2019) Haiying Sun et al. RENEWABLE ENERGY
- Study on an innovative three-dimensional wind turbine wake model
- (2018) Haiying Sun et al. APPLIED ENERGY
- Review and evaluation of wake loss models for wind energy applications
- (2018) Cristina L. Archer et al. APPLIED ENERGY
- A New Analytical Wake Model for Yawed Wind Turbines
- (2018) Guo-Wei Qian et al. Energies
- Similarity of wake meandering for different wind turbine designs for different scales
- (2018) Daniel Foti et al. JOURNAL OF FLUID MECHANICS
- A new Gaussian-based analytical wake model for wind turbines considering ambient turbulence intensities and thrust coefficient effects
- (2018) Takeshi Ishihara et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Modelling of wind turbine wake using large eddy simulation
- (2018) Nima Sedaghatizadeh et al. RENEWABLE ENERGY
- A new class of actuator surface models for wind turbines
- (2018) Xiaolei Yang et al. WIND ENERGY
- Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars for Analytical Wake Model Validation
- (2018) Fernando Carbajo Fuertes et al. Remote Sensing
- Wake meandering of a model wind turbine operating in two different regimes
- (2018) Daniel Foti et al. Physical Review Fluids
- Large-eddy simulation of a utility-scale wind farm in complex terrain
- (2018) Xiaolei Yang et al. APPLIED ENERGY
- A two-dimensional model based on the expansion of physical wake boundary for wind-turbine wakes
- (2018) Mingwei Ge et al. APPLIED ENERGY
- Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data
- (2017) Said El-Asha et al. WIND ENERGY
- Effect of tower and nacelle on the flow past a wind turbine
- (2017) Christian Santoni et al. WIND ENERGY
- Optimization of wind turbine layout position in a wind farm using a newly-developed two-dimensional wake model
- (2016) Xiaoxia Gao et al. APPLIED ENERGY
- Wake meandering statistics of a model wind turbine: Insights gained by large eddy simulations
- (2016) Daniel Foti et al. Physical Review Fluids
- A new analytical model for wind-turbine wakes
- (2014) Majid Bastankhah et al. RENEWABLE ENERGY
- High-resolution numerical simulation of turbulence in natural waterways
- (2010) Seokkoo Kang et al. ADVANCES IN WATER RESOURCES
- A smoothing technique for discrete delta functions with application to immersed boundary method in moving boundary simulations
- (2009) Xiaolei Yang et al. JOURNAL OF COMPUTATIONAL PHYSICS
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