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Critical evaluation of Wind Turbines’ analytical wake models

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(2021) Zilong Ti et al.   RENEWABLE ENERGY

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Bilateral Gaussian Wake Model Formulation for Wind Farms: A Forecasting based approach

(2020) Harsh S. Dhiman et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Array programming with NumPy

(2020) Charles R. Harris et al.   NATURE

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

(2020) Haiying Sun et al.   APPLIED ENERGY

Prediction of aerodynamic flow fields using convolutional neural networks

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

(2019) Chi Yan et al.   WIND ENERGY

Wind Farm Modeling with Interpretable Physics-Informed Machine Learning

(2019) Michael F. Howland et al.   Energies

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(2019) Xinglong Ju et al.   ENERGY CONVERSION AND MANAGEMENT

Wind power forecasting based on daily wind speed data using machine learning algorithms

(2019) Halil Demolli et al.   ENERGY CONVERSION AND MANAGEMENT

Wake modeling of wind turbines using machine learning

(2019) Zilong Ti et al.   APPLIED ENERGY

A survey of artificial neural network in wind energy systems

(2018) Alberto Pliego Marugán et al.   APPLIED ENERGY

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

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A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost

(2018) Dahai Zhang et al.   IEEE Access

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(2018) Karthik Duraisamy et al.   Annual Review of Fluid Mechanics

Machine learning methods for wind turbine condition monitoring: A review

(2018) Adrian Stetco et al.   RENEWABLE ENERGY

Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for stall delay effect

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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

Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

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Wind speed forecasting for wind farms: A method based on support vector regression

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Development and validation of a new two-dimensional wake model for wind turbine wakes

(2015) Linlin Tian et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

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

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(2014) Shengbai Xie et al.   WIND ENERGY

Atmospheric Turbulence Effects on Wind-Turbine Wakes: An LES Study

(2012) Yu-Ting Wu et al.   Energies

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(2011) Wei Zhang et al.   EXPERIMENTS IN FLUIDS

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Modelling and measuring flow and wind turbine wakes in large wind farms offshore

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Wake meandering: a pragmatic approach

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