Condition monitoring and performance forecasting of wind turbines based on denoising autoencoder and novel convolutional neural networks

A Novel Blind Deconvolution Based on Sparse Subspace Recoding for Condition Monitoring of Wind Turbine Gearbox

(2021) Zhipeng Ma et al.   RENEWABLE ENERGY

Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

(2021) Ming-De Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future

(2021) Joyjit Chatterjee et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network

(2021) Hansi Chen et al.   RENEWABLE ENERGY

Stabilization of power output and platform motion of a floating offshore wind turbine-generator system using model predictive control based on previewed disturbances

(2021) Tetsuya Wakui et al.   RENEWABLE ENERGY

Time–frequency analysis via complementary ensemble adaptive local iterative filtering and enhanced maximum correlation kurtosis deconvolution for wind turbine fault diagnosis

(2021) Yi Zhang et al.   Energy Reports

A combination forecasting model of wind speed based on decomposition

(2021) Zhongda Tian et al.   Energy Reports

A novel wind turbine data imputation method with multiple optimizations based on GANs

(2020) Fuming Qu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network

(2020) Zi Lin et al.   ENERGY

Modeling of an ultra-supercritical boiler-turbine system with stacked denoising auto-encoder and long short-term memory network

(2020) Xiangjie Liu et al.   INFORMATION SCIENCES

Short-term wind power forecasting approach based on Seq2Seq model using NWP data

(2020) Yu Zhang et al.   ENERGY

Short-term wind speed prediction using Extended Kalman filter and machine learning

(2020) Sung-ho Hur   Energy Reports

A novel wind turbine health condition monitoring method based on composite variational mode entropy and weighted distribution adaptation

(2020) He Ren et al.   RENEWABLE ENERGY

A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition

(2019) Hao Yin et al.   ENERGY

Approaches to wind power curve modeling: A review and discussion

(2019) Yun Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Improving wind turbine power curve monitoring with standardisation

(2019) Georg Helbing et al.   RENEWABLE ENERGY

Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units

(2019) Ziqian Kong et al.   RENEWABLE ENERGY

A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification

(2018) Özal Yildirim   COMPUTERS IN BIOLOGY AND MEDICINE

An approach combining data mining and control charts-based model for fault detection in wind turbines

(2018) Hsu-Hao Yang et al.   RENEWABLE ENERGY

Condition monitoring of a wind turbine drive train based on its power dependant vibrations

(2018) Antonio Romero et al.   RENEWABLE ENERGY

Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data

(2018) Phong B. Dao et al.   RENEWABLE ENERGY

Control chart monitoring of wind turbine generators using the statistical inertia of a wind farm average

(2018) P. Cambron et al.   RENEWABLE ENERGY

Wind turbine health state monitoring based on a Bayesian data-driven approach

(2018) Zhe Song et al.   RENEWABLE ENERGY

An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring

(2018) Wenguang Yang et al.   RENEWABLE ENERGY

Using high-frequency SCADA data for wind turbine performance monitoring: A sensitivity study

(2018) Elena Gonzalez et al.   RENEWABLE ENERGY

Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

(2018) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

A novel wind turbine condition monitoring method based on cloud computing

(2018) Peng Qian et al.   RENEWABLE ENERGY

Machine learning methods for wind turbine condition monitoring: A review

(2018) Adrian Stetco et al.   RENEWABLE ENERGY

Power curve monitoring using weighted moving average control charts

(2016) P. Cambron et al.   RENEWABLE ENERGY

Grouped variable importance with random forests and application to multiple functional data analysis

(2015) Baptiste Gregorutti et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Short-term wind power prediction based on LSSVM–GSA model

(2015) Xiaohui Yuan et al.   ENERGY CONVERSION AND MANAGEMENT

A review of electrical winding failures in wind turbine generators

(2012) Kevin Alewine et al.   IEEE ELECTRICAL INSULATION MAGAZINE

A Variable Speed Wind Turbine Control Strategy to Meet Wind Farm Grid Code Requirements

(2009) S.M. Muyeen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS