| 1 |
Wind speed prediction method based on Empirical Wavelet Transform and New Cell Update Long Short-Term Memory network
Pei SQ, Qin H, Zhang ZD, Yao LQ, Wang YQ, Wang C, Liu YQ, Jiang ZQ, Zhou JZ, Yi TL
Energy Conversion and Management, 196, 779, 2019 |
| 2 |
Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear
Kong Y, Wang TY, Chu FL
Renewable Energy, 132, 1373, 2019 |
| 3 |
Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform
Teng W, Ding X, Cheng H, Han C, Liu YB, Mu HH
Renewable Energy, 136, 393, 2019 |
| 4 |
Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction
Liu H, Wu HP, Li YF
Energy Conversion and Management, 161, 266, 2018 |
| 5 |
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
Liu H, Mi XW, Li YF
Energy Conversion and Management, 156, 498, 2018 |
| 6 |
Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction
Li YF, Wu HP, Liu H
Energy Conversion and Management, 167, 203, 2018 |
| 7 |
Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
Chen JL, Pan J, Li ZP, Zi YY, Chen XF
Renewable Energy, 89, 80, 2016 |
| 8 |
A robust combination approach for short-term wind speed forecasting and analysis - Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model
Wang JZ, Hu JM
Energy, 93, 41, 2015 |
| 9 |
A hybrid technique for short-term wind speed prediction
Hu JM, Wang JZ, Ma KL
Energy, 81, 563, 2015 |
