Data-driven fluid mechanics of wind farms: A review

Analytical solution for the cumulative wake of wind turbines in wind farms

(2021) Majid Bastankhah et al.   JOURNAL OF FLUID MECHANICS

Spatiotemporal wind field prediction based on physics-informed deep learning and LIDAR measurements

(2021) Jincheng Zhang et al.   APPLIED ENERGY

Power increases using wind direction spatial filtering for wind farm control: Evaluation using FLORIS, modified for dynamic settings

(2021) M. Sinner et al.   Journal of Renewable and Sustainable Energy

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

Cluster-based probabilistic structure dynamical model of wind turbine wake

(2021) Naseem Ali et al.   JOURNAL OF TURBULENCE

Self-organized Operational Neural Networks with Generative Neurons

(2021) Serkan Kiranyaz et al.   NEURAL NETWORKS

Sustainable renewable energy supply networks optimization – The gradual transition to a renewable energy system within the European Union by 2050

(2021) Sanja Potrč et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Artificial Neural Networks based wake model for power prediction of wind farm

(2021) Zilong Ti et al.   RENEWABLE ENERGY

Review of wake management techniques for wind turbines

(2021) Daniel R. Houck   WIND ENERGY

A new wake‐merging method for wind‐farm power prediction in the presence of heterogeneous background velocity fields

(2021) Luca Lanzilao et al.   WIND ENERGY

Three-dimensional spatiotemporal wind field reconstruction based on physics-informed deep learning

(2021) Jincheng Zhang et al.   APPLIED ENERGY

Data-driven RANS closures for wind turbine wakes under neutral conditions

(2021) Julia Steiner et al.   COMPUTERS & FLUIDS

Time-Averaged Wind Turbine Wake Flow Field Prediction Using Autoencoder Convolutional Neural Networks

(2021) Zexia Zhang et al.   Energies

Wind farm wake modeling based on deep convolutional conditional generative adversarial network

(2021) Jincheng Zhang et al.   ENERGY

Dynamic wind turbine wake reconstruction: A Koopman-linear flow estimator

(2021) Zhenyu Chen et al.   ENERGY

A data-driven analytical model for wind turbine wakes using machine learning method

(2021) Guo Nai-Zhi et al.   ENERGY CONVERSION AND MANAGEMENT

Wind turbine wake control strategies: A review and concept proposal

(2021) Ryan Nash et al.   ENERGY CONVERSION AND MANAGEMENT

Physics-informed machine learning for reduced-order modeling of nonlinear problems

(2021) Wenqian Chen et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest

(2020) Jianchao Cai et al.   APPLIED ENERGY

A momentum-conserving wake superposition method for wind farm power prediction

(2020) Haohua Zong et al.   JOURNAL OF FLUID MECHANICS

Operational neural networks

(2020) Serkan Kiranyaz et al.   NEURAL COMPUTING & APPLICATIONS

Data-driven modeling of the wake behind a wind turbine array

(2020) Naseem Ali et al.   Journal of Renewable and Sustainable Energy

A comparative analysis of gradient boosting algorithms

(2020) Candice Bentéjac et al.   ARTIFICIAL INTELLIGENCE REVIEW

Nonuniform wind farm layout optimization: A state-of-the-art review

(2020) Siyu Tao et al.   ENERGY

Wind turbine power modelling and optimization using artificial neural network with wind field experimental data

(2020) Haiying Sun et al.   APPLIED ENERGY

Big wind power: seven questions for turbulence research

(2019) Charles Meneveau   JOURNAL OF TURBULENCE

A general method to estimate wind farm power using artificial neural networks

(2019) Chi Yan et al.   WIND ENERGY

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Wind-Turbine and Wind-Farm Flows: A Review

(2019) Fernando Porté-Agel et al.   BOUNDARY-LAYER METEOROLOGY

Wind Farm Modeling with Interpretable Physics-Informed Machine Learning

(2019) Michael F. Howland et al.   Energies

A quantitative review of wind farm control with the objective of wind farm power maximization

(2019) Ali C. Kheirabadi et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

The importance of atmospheric turbulence and stability in machine-learning models of wind farm power production

(2019) Mike Optis et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data-driven modeling and learning in science and engineering

(2019) Francisco J. Montáns et al.   COMPTES RENDUS MECANIQUE

Big data driven multi-objective predictions for offshore wind farm based on machine learning algorithms

(2019) Xiuxing Yin et al.   ENERGY

Physics-induced graph neural network: An application to wind-farm power estimation

(2019) Junyoung Park et al.   ENERGY

Grand challenges in the science of wind energy

(2019) Paul Veers et al.   SCIENCE

Wake modeling of wind turbines using machine learning

(2019) Zilong Ti et al.   APPLIED ENERGY

LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes

(2019) Lu Zhan et al.   WIND ENERGY

Heterogeneous Multilayer Generalized Operational Perceptron

(2019) Dat Thanh Tran et al.   IEEE Transactions on Neural Networks and Learning Systems

Review and evaluation of wake loss models for wind energy applications

(2018) Cristina L. Archer et al.   APPLIED ENERGY

A Hybrid Wind-Farm Parametrization for Mesoscale and Climate Models

(2018) Yang Pan et al.   BOUNDARY-LAYER METEOROLOGY

A generalized framework for reduced-order modeling of a wind turbine wake

(2018) Nicholas Hamilton et al.   WIND ENERGY

First in situ evidence of wakes in the far field behind offshore wind farms

(2018) Andreas Platis et al.   Scientific Reports

Is a 100% renewable European power system feasible by 2050?

(2018) William Zappa et al.   APPLIED ENERGY

Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development

(2018) J. K. Lundquist et al.   Nature Energy

On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operator

(2017) Milan Korda et al.   JOURNAL OF NONLINEAR SCIENCE

Progressive Operational Perceptrons

(2017) Serkan Kiranyaz et al.   NEUROCOMPUTING

Towards reduced order modelling for predicting the dynamics of coherent vorticity structures within wind turbine wakes

(2017) M. Debnath et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Ergodic Theory, Dynamic Mode Decomposition, and Computation of Spectral Properties of the Koopman Operator

(2017) Hassan Arbabi et al.   SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS

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

Analytical Modeling of Wind Farms: A New Approach for Power Prediction

(2016) Amin Niayifar et al.   Energies

Non-intrusive reduced order modelling with least squares fitting on a sparse grid

(2016) Z. Lin et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Wind turbine wake models developed at the technical university of Denmark: A review

(2016) Tuhfe Göçmen et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Wake effect modeling: A review of wind farm layout optimization using Jensen׳s model

(2016) Rabia Shakoor et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A random forest guided tour

(2016) Gérard Biau et al.   TEST

A random forest guided tour

(2016) Gérard Biau et al.   TEST

The Johns Hopkins Turbulence Databases: An Open Simulation Laboratory for Turbulence Research

(2015) Kalin Kanov et al.   COMPUTING IN SCIENCE & ENGINEERING

A new wind-farm parameterization for large-scale atmospheric models

(2015) Mahdi Abkar et al.   Journal of Renewable and Sustainable Energy

Simulation of wind turbine wakes using the actuator line technique

(2015) J. N. Sorensen et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study

(2015) Mahdi Abkar et al.   PHYSICS OF FLUIDS

Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm

(2015) Yu-Ting Wu et al.   RENEWABLE ENERGY

A new analytical model for wind-turbine wakes

(2014) Majid Bastankhah et al.   RENEWABLE ENERGY

Local and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model

(2012) Anna C. Fitch et al.   MONTHLY WEATHER REVIEW

Review Paper on Wind Turbine Aerodynamics

(2011) Martin O. L. Hansen et al.   JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME

Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation

(2011) Souma Chowdhury et al.   RENEWABLE ENERGY

Review of computational fluid dynamics for wind turbine wake aerodynamics

(2011) B. Sanderse et al.   WIND ENERGY

Classification and regression trees

(2011) Wei-Yin Loh   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Improved Computation for Levenberg–Marquardt Training

(2010) Bogdan M Wilamowski et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Dynamic mode decomposition of numerical and experimental data

(2010) PETER J. SCHMID   JOURNAL OF FLUID MECHANICS

Large eddy simulation study of fully developed wind-turbine array boundary layers

(2010) Marc Calaf et al.   PHYSICS OF FLUIDS

The Actuator Surface Model: A New Navier–Stokes Based Model for Rotor Computations

(2009) Wen Zhong Shen et al.   JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME

Model reduction by CPOD and Kriging

(2009) Manyu Xiao et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

What is principal component analysis?

(2008) Markus Ringnér   NATURE BIOTECHNOLOGY