Predicting wind farm operations with machine learning and the P2D‐RANS model: A case study for an AWAKEN site

Data-driven wind turbine wake modeling via probabilistic machine learning

(2022) S. Ashwin Renganathan et al.   NEURAL COMPUTING & APPLICATIONS

Pseudo-2D RANS: A LiDAR-driven mid-fidelity model for simulations of wind farm flows

(2022) S. Letizia et al.   Journal of Renewable and Sustainable Energy

Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR measurements

(2022) G. V. Iungo et al.   Journal of Renewable and Sustainable Energy

Data-driven fluid mechanics of wind farms: A review

(2022) Navid Zehtabiyan-Rezaie et al.   Journal of Renewable and Sustainable Energy

Physics-informed neural networks for solving Reynolds-averaged Navier–Stokes equations

(2022) Hamidreza Eivazi et al.   PHYSICS OF FLUIDS

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

(2021) Zilong Ti et al.   RENEWABLE ENERGY

Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake

(2021) Shantanu Purohit et al.   RENEWABLE ENERGY

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

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

(2020) Haiying Sun et al.   APPLIED ENERGY

The role of renewable energy in the global energy transformation

(2019) Dolf Gielen et al.   Energy Strategy Reviews

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

(2019) Chi Yan et al.   WIND ENERGY

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

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

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

(2019) Junyoung Park et al.   ENERGY

Wind Turbine Power Curve Modeling with a Hybrid Machine Learning Technique

(2019) Shenglei Pei et al.   Applied Sciences-Basel

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

Implementation of novel hybrid approaches for power curve modeling of wind turbines

(2018) Mehmet Yesilbudak   ENERGY CONVERSION AND MANAGEMENT

A review on wind turbine control and its associated methods

(2018) Eduardo José Novaes Menezes et al.   JOURNAL OF CLEANER PRODUCTION

Wind turbine power curve modeling based on Gaussian Processes and Artificial Neural Networks

(2018) Bartolomé Manobel et al.   RENEWABLE ENERGY

Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy

(2018) Ravi Kumar Pandit et al.   WIND 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

An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm

(2016) Bryony DuPont et al.   ENERGY

Experimental characterization of wind turbine wakes: Wind tunnel tests and wind LiDAR measurements

(2016) Giacomo Valerio Iungo   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

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

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

The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review

(2015) W.Y. Liu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Simulations of an Offshore Wind Farm Using Large-Eddy Simulation and a Torque-Controlled Actuator Disc Model

(2015) Angus Creech et al.   SURVEYS IN GEOPHYSICS

Volumetric Lidar Scanning of Wind Turbine Wakes under Convective and Neutral Atmospheric Stability Regimes

(2014) Giacomo Valerio Iungo et al.   JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY

Large-eddy simulations of the Lillgrund wind farm

(2014) Karl Nilsson et al.   WIND ENERGY

Monitoring of wind farms’ power curves using machine learning techniques

(2012) Antonino Marvuglia et al.   APPLIED ENERGY

Wind Turbine Blade Design

(2012) Peter J. Schubel et al.   Energies

The wind energy (r)evolution: A short review of a long history

(2011) John K. Kaldellis et al.   RENEWABLE ENERGY

Optimization of wind farm turbines layout using an evolutive algorithm

(2010) Javier Serrano González et al.   RENEWABLE ENERGY

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

(2009) R. J. Barthelmie et al.   WIND ENERGY