Wake and power prediction of horizontal-axis wind farm under yaw-controlled conditions with machine learning

Developing a novel approach for missing data imputation of solar radiation: A hybrid differential evolution algorithm based eXtreme gradient boosting model

(2023) Eyyup Ensar Başakın et al.   ENERGY CONVERSION AND MANAGEMENT

A novel hybrid control strategy of wind turbine wakes in tandem configuration to improve power production

(2022) M.E. Nakhchi et al.   ENERGY CONVERSION AND MANAGEMENT

Generalized Extreme Gradient Boosting model for predicting daily global solar radiation for locations without historical data

(2022) Rangjian Qiu et al.   ENERGY CONVERSION AND MANAGEMENT

Cooperative yaw control of wind farm using a double-layer machine learning framework

(2022) Shanghui Yang et al.   RENEWABLE ENERGY

Large-eddy simulation of the influence of hairpin vortex on pressure coefficient of an operating horizontal axis wind turbine

(2022) Rina Su et al.   ENERGY CONVERSION AND MANAGEMENT

Investigation of wind turbine wakes and wake recovery in a tandem configuration using actuator line model with LES

(2021) Huseyin C. Onel et al.   COMPUTERS & FLUIDS

Large-eddy simulation on the similarity between wakes of wind turbines with different yaw angles

(2021) Zhaobin Li et al.   JOURNAL OF FLUID MECHANICS

An effective framework for wake predictions of tidal-current turbines

(2021) Long Chen et al.   OCEAN ENGINEERING

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

(2021) Zilong Ti et al.   RENEWABLE ENERGY

Rapid ultracapacitor life prediction with a convolutional neural network

(2021) Chenxu Wang et al.   APPLIED ENERGY

A control-oriented large eddy simulation of wind turbine wake considering effects of Coriolis force and time-varying wind conditions

(2021) Guo-Wei Qian et al.   ENERGY

Wind turbine wake control strategies: A review and concept proposal

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

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

WInc3D: A novel framework for turbulence‐resolving simulations of wind farm wake interactions

(2020) Georgios Deskos et al.   WIND ENERGY

The actuator line method for wind turbine modelling applied in a variational multiscale framework

(2020) M. Ravensbergen et al.   COMPUTERS & FLUIDS

Study on interaction between the wind-turbine wake and the urban district model by large eddy simulation

(2020) Mingwei Ge et al.   RENEWABLE ENERGY

Numerical investigations on control strategies of wake deviation for large wind turbines in an offshore wind farm

(2019) Yuanbo Wang et al.   OCEAN ENGINEERING

A new wake model and comparison of eight algorithms for layout optimization of wind farms in complex terrain

(2019) Roberto Brogna et al.   APPLIED ENERGY

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

Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   APPLIED ENERGY

A survey of artificial neural network in wind energy systems

(2018) Alberto Pliego Marugán et al.   APPLIED ENERGY

Fluid-structure coupled computations of the NREL 5 MW wind turbine by means of CFD

(2018) B. Dose et al.   RENEWABLE ENERGY

Comparison of wind farm large eddy simulations using actuator disk and actuator line models with wind tunnel experiments

(2018) Richard J.A.M. Stevens et al.   RENEWABLE ENERGY

Modelling turbulence intensity within a large offshore wind farm

(2018) Peter Argyle et al.   WIND ENERGY

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

(2018) Dahai Zhang et al.   IEEE Access

A Large Eddy Simulation-Actuator Line Model framework to simulate a scaled wind energy facility and its application

(2018) Martín Draper et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Machine learning methods for wind turbine condition monitoring: A review

(2018) Adrian Stetco et al.   RENEWABLE ENERGY

Investigation of wake characteristics of a yawed HAWT and its impacts on the inline downstream wind turbine using unsteady CFD

(2017) Weipao Miao 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

An improvedk-ϵmodel applied to a wind turbine wake in atmospheric turbulence

(2014) M. Paul van der Laan et al.   WIND ENERGY