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

Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM

(2020) Zhongda Tian   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A novel Deep Learning Framework: Prediction and Analysis of Financial Time Series using CEEMD and LSTM

(2020) Yong'an Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fuzzy First-Order Transition-Rules-Trained Hybrid Forecasting System for Short-Term Wind Speed Forecasts

(2020) Yulong Bai et al.   Energies

A hybrid prediction method based on empirical mode decomposition and multiple model fusion for chaotic time series

(2020) Li-Hong Tang et al.   CHAOS SOLITONS & FRACTALS

Wind speed forecasting based on variational mode decomposition and improved echo state network

(2020) Huanling Hu et al.   RENEWABLE ENERGY

Sample Selection Based on Active Learning for Short-Term Wind Speed Prediction

(2019) Jian Yang et al.   Energies

S 2 ‐Net: Machine reading comprehension with SRU‐based self‐matching networks

(2019) Cheoneum Park et al.   ETRI JOURNAL

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

Long Short-Term Memory Network based on Neighborhood Gates for processing complex causality in wind speed prediction

(2019) Zhendong Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression

(2019) Zhendong Zhang et al.   APPLIED ENERGY

AR–ARCH Type Artificial Neural Network for Forecasting

(2019) Burcin Seyda Corba et al.   NEURAL PROCESSING LETTERS

Association of prevalence of electronic cigarette use with smoking cessation and cigarette consumption in England: a time–series analysis between 2006 and 2017

(2019) Emma Beard et al.   ADDICTION

Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction

(2019) Zherui Ma et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind speed prediction model based on GA-ANN improved by VMD

(2019) Yagang Zhang et al.   RENEWABLE ENERGY

Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction

(2018) Madasthu Santhosh et al.   ENERGY CONVERSION AND MANAGEMENT

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Improved near surface wind speed predictions using Gaussian process regression combined with numerical weather predictions and observed meteorological data

(2018) Victoria Hoolohan et al.   RENEWABLE ENERGY

Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy

(2018) Jujie Wang et al.   APPLIED ENERGY

Online load frequency control in wind integrated power systems using modified Jaya optimization

(2018) Chittaranjan Pradhan et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines

(2018) Xingxing Jiang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Using artificial neural networks for temporal and spatial wind speed forecasting in Iran

(2016) Younes Noorollahi et al.   ENERGY CONVERSION AND MANAGEMENT

Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

(2016) Jianzhou Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Wind speed forecasting for wind farms: A method based on support vector regression

(2016) G. Santamaría-Bonfil et al.   RENEWABLE ENERGY

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting

(2016) Ye Ren et al.   IEEE Transactions on Neural Networks and Learning Systems

An analog ensemble for short-term probabilistic solar power forecast

(2015) S. Alessandrini et al.   APPLIED ENERGY

A novel three-step procedure to forecast the inspection volume

(2015) J.J. Ruiz-Aguilar et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Adaptive Wavelet Neural Network Based Wind Speed Forecasting Studies

(2014) D. Rakesh Chandra et al.   Journal of Electrical Engineering & Technology

Short-term wind speed forecasting based on a hybrid model

(2013) Wenyu Zhang et al.   APPLIED SOFT COMPUTING

Financial time series prediction by a random data-time effective RBF neural network

(2013) Hongli Niu et al.   SOFT COMPUTING

Control of a wind energy conversion system equipped by a DFIG for active power generation and power quality improvement

(2012) M. Boutoubat et al.   RENEWABLE ENERGY

Short-term prediction of wind power using EMD and chaotic theory

(2011) Xueli An et al.   Communications in Nonlinear Science and Numerical Simulation

ARMA based approaches for forecasting the tuple of wind speed and direction

(2010) Ergin Erdem et al.   APPLIED ENERGY

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting

(2010) Mehdi Khashei et al.   APPLIED SOFT COMPUTING

Time series AR modeling with missing observations based on the polynomial transformation

(2009) Jie Ding et al.   MATHEMATICAL AND COMPUTER MODELLING

Day-ahead wind speed forecasting using f-ARIMA models

(2008) Rajesh G. Kavasseri et al.   RENEWABLE ENERGY