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科研机构
中南大学 [4]
青藏高原研究所 [1]
湖南农业大学 [1]
湖南大学 [1]
内容类型
期刊论文 [7]
发表日期
2019 [1]
2018 [6]
学科主题
地球科学::地质学 [1]
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Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
期刊论文
RENEWABLE ENERGY, 2019, 卷号: 143, 页码: 842-854
作者:
Liu, Hui*
;
Mi, Xiwei
;
Li, Yanfei
;
Duan, Zhu
;
Xu, Yinan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/23
Wind speed forecasting
Singular spectrum analysis
Convolutional gated recurrent unit network
Support vector regression
Time series
Deep learning
LateralMoho variations and the geometry of the Main Himalayan Thrust beneath the Nepal Himalayan orogen revealed by teleseismic receiver functions
期刊论文
GEOPHYSICAL JOURNAL INTERNATIONAL, 2018, 卷号: 214, 期号: 2, 页码: 1004-1017
作者:
Xu, Q (Xu, Qiang)
;
He, P (He, Ping)
;
Lei, JS (Lei, Jianshe)
;
Yuan, XH (Yuan, Xiaohui)
;
Xu, XW (Xu, Xiwei)
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2019/05/29
2015 Gorkha Earthquake
Indian Lithosphere Beneath
Pn Anisotropic Tomography
Tibetan Plateau
Southern Tibet
Collision Zone
Crustal Structure
Eurasia Collision
Steep Subduction
Gps Measurements
Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network
期刊论文
Energy Conversion and Management, 2018, 卷号: 166, 页码: 120-131
作者:
Liu, Hui*
;
Mi, Xiwei
;
Li, Yanfei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/03
Wind speed prediction model
Wavelet packet decomposition
Convolutional neural network
Convolutional long short term memory network
Deep learning
An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm
期刊论文
Renewable Energy, 2018, 卷号: 123, 页码: 694-705
作者:
Liu, Hui
;
Mi, Xiwei
;
Li, Yanfei*
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/03
Wind speed predictions
Wind speed decomposing performance
Wavelet packet decomposition
Empirical mode decomposition
Extreme learning machine
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks
期刊论文
Energy Conversion and Management, 2018, 卷号: 155, 页码: 188-200
作者:
Liu, Hui
;
Mi, Xiwei
;
Li, Yanfei*
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2019/12/03
Wind speed forecasting
Wavelet packet decomposition
Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
Artificial Neural Network
ANN
Artificial Neural Network
AR
Auto Regressive
ARIMA
Auto Regressive Integrated Moving Average
BA
Bat Algorithm
BP
Back-propagation Neural Network
CEEMDAN
Complete Ensemble Empirical Mode Decomposition
CG
Conjugate Gradient
CLSFPA
Flower Pollination Algorithm with Chaotic Local Search
CNN
Convolutional Neural Network
CS
Compressive Sensing
CSA
Cuckoo Search Algorithm
EEMD
Ensemble Empirical Mode Decomposition
ESM
Exponential Smoothing Method
FA
Firefly Algorithm
FAC
First-order Adaptive Coefficient
GA
Genetic Algorithm
GRNN
General Regression Neural Network
HBSA
Hybrid Backtracking Search Algorithm
HWM
Holt-Winters Model
IMFs
Intrinsic Mode Functions
IS
Input parameter Selection
KF
Kalman filter
LSSVM
Least Square Support Vector Machine
MAE
Mean Absolute Error
MAPE
Mean Absolute Percentage Error
MLP
Multilayer Perceptron Neural Network
MOBA
Multi Objective Bat Algorithm
NNCT
No Negative Constraint Theory
NSGA
Non-dominated Sorting Genetic Algorithm
OVMD
Optimized Variational Mode Decomposition
PSO
Particle Swam Optimization
PSOSA
Particle Swarm Optimization based on Simulated Annealing
PSR
Phase Space Reconstruction
RBF
Radial Basis Function Neural Network
RMSE
Root Mean Square Error
SAC
Second-order Adaptive Coefficient
SAM
Seasonal Adjustment Method
SDA
Secondary Decomposition Algorithm
SEA
Seasonal Exponential Adjustment
SOM
Self-Organizing feature Maps
SSA
Singular Spectrum Analysis
SVR
Support Vector Regression
VMD
Variational Mode Decomposition
v-SVM
v-Support Vector Machine
WD
Wavelet Decomposition
WPD
Wavelet Packet Decomposition
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
期刊论文
Energy Conversion and Management, 2018, 卷号: 159, 页码: 54-64
作者:
Liu, Hui*
;
Mi, Xiwei
;
Li, Yanfei
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/03
Wind speed forecasting
Variational mode decomposition
Singular spectrum analysis
Deep learning
Long short term memory network
Extreme learning machine
LateralMoho variations and the geometry of the Main Himalayan Thrust beneath the Nepal Himalayan orogen revealed by teleseismic receiver functions
期刊论文
GEOPHYSICAL JOURNAL INTERNATIONAL, 2018, 卷号: Vol.214 No.2, 页码: 1004-1017
作者:
He, Ping
;
Lei, Jianshe
;
Yuan, Xiaohui
;
Xu, Xiwei
;
Xu, Qiang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/26
Receiver
function
Nepal
Himalayan
orogen
Moho
variations
Main
Himalayan
Thrust
the
2015
Gorkha
earthquake
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