相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A novel blind deconvolution based on sparse subspace recoding for condition monitoring of wind turbine gearbox
Zhipeng Ma et al.
RENEWABLE ENERGY (2021)
Short-term wind speed prediction using Extended Kalman filter and machine learning
Sung-ho Hur
ENERGY REPORTS (2021)
Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction
Ming-De Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Time-frequency analysis via complementary ensemble adaptive local iterative filtering and enhanced maximum correlation kurtosis deconvolution for wind turbine fault diagnosis
Yi Zhang et al.
ENERGY REPORTS (2021)
A combination forecasting model of wind speed based on decomposition
Zhongda Tian et al.
ENERGY REPORTS (2021)
A novel wind turbine health condition monitoring method based on composite variational mode entropy and weighted distribution adaptation
He Ren et al.
RENEWABLE ENERGY (2021)
Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future
Joyjit Chatterjee et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network
Hansi Chen et al.
RENEWABLE ENERGY (2021)
Stabilization of power output and platform motion of a floating offshore wind turbine-generator system using model predictive control based on previewed disturbances
Tetsuya Wakui et al.
RENEWABLE ENERGY (2021)
Improving wind turbine power curve monitoring with standardisation
Georg Helbing et al.
RENEWABLE ENERGY (2020)
Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units
Ziqian Kong et al.
RENEWABLE ENERGY (2020)
A novel wind turbine data imputation method with multiple optimizations based on GANs
Fuming Qu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network
Zi Lin et al.
ENERGY (2020)
Modeling of an ultra-supercritical boiler-turbine system with stacked denoising auto-encoder and long short-term memory network
Xiangjie Liu et al.
INFORMATION SCIENCES (2020)
Short-term wind power forecasting approach based on Seq2Seq model using NWP data
Yu Zhang et al.
ENERGY (2020)
Using high-frequency SCADA data for wind turbine performance monitoring: A sensitivity study
Elena Gonzalez et al.
RENEWABLE ENERGY (2019)
A novel wind turbine condition monitoring method based on cloud computing
Peng Qian et al.
RENEWABLE ENERGY (2019)
Machine learning methods for wind turbine condition monitoring: A review
Adrian Stetco et al.
RENEWABLE ENERGY (2019)
Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine
Xiwei Mi et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition
Hao Yin et al.
ENERGY (2019)
Approaches to wind power curve modeling: A review and discussion
Yun Wang et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
Ozal Yildirim
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
An approach combining data mining and control charts-based model for fault detection in wind turbines
Hsu-Hao Yang et al.
RENEWABLE ENERGY (2018)
Condition monitoring of a wind turbine drive train based on its power dependant vibrations
Antonio Romero et al.
RENEWABLE ENERGY (2018)
Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data
Phong B. Dao et al.
RENEWABLE ENERGY (2018)
Control chart monitoring of wind turbine generators using the statistical inertia of a wind farm average
P. Cambron et al.
RENEWABLE ENERGY (2018)
Wind turbine health state monitoring based on a Bayesian data-driven approach
Zhe Song et al.
RENEWABLE ENERGY (2018)
An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring
Wenguang Yang et al.
RENEWABLE ENERGY (2018)
Hour-ahead wind power forecast based on random forests
A. Lahouar et al.
RENEWABLE ENERGY (2017)
Power curve monitoring using weighted moving average control charts
P. Cambron et al.
RENEWABLE ENERGY (2016)
Grouped variable importance with random forests and application to multiple functional data analysis
Baptiste Gregorutti et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2015)
Short-term wind power prediction based on LSSVM-GSA model
Xiaohui Yuan et al.
ENERGY CONVERSION AND MANAGEMENT (2015)
A Review of Electrical Winding Failures in Wind Turbine Generators
Kevin Alewine et al.
IEEE ELECTRICAL INSULATION MAGAZINE (2012)
A Variable Speed Wind Turbine Control Strategy to Meet Wind Farm Grid Code Requirements
S. M. Muyeen et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2010)