Short-Term Wind Speed Forecasting Based on Hybrid Variational Mode Decomposition and Least Squares Support Vector Machine Optimized by Bat Algorithm Model

A Novel Decomposition-Optimization Model for Short-Term Wind Speed Forecasting

(2018) Jianzhong Zhou et al.   Energies

Performance comparison of ANNs model with VMD for short-term wind speed forecasting

(2018) Mohammed Gendeel et al.   IET Renewable Power Generation

A New Hybrid Approach for Wind Speed Forecasting Applying Support Vector Machine with Ensemble Empirical Mode Decomposition and Cuckoo Search Algorithm

(2018) Tongxiang Liu et al.   Applied Sciences-Basel

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

(2017) Wenyu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Wind Power Generation Forecasting Using Least Squares Support Vector Machine Combined with Ensemble Empirical Mode Decomposition, Principal Component Analysis and a Bat Algorithm

(2016) Qunli Wu et al.   Energies

Wind speed forecasting using FEEMD echo state networks with RELM in Hebei, China

(2016) Wei Sun et al.   ENERGY CONVERSION AND MANAGEMENT

Application of Artificial Intelligence Methods for Hybrid Energy System Optimization

(2016) S.M. Zahraee 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

Recursive wind speed forecasting based on Hammerstein Auto-Regressive model

(2015) Othman Ait Maatallah et al.   APPLIED ENERGY

The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China

(2015) Jian-Zhou Wang et al.   APPLIED ENERGY

Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system

(2015) Yanxue Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China

(2015) Jianzhou Wang et al.   RENEWABLE ENERGY

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Current status and future advances for wind speed and power forecasting

(2014) Jaesung Jung et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Modeling and forecasting electricity spot prices: A functional data perspective

(2013) Dominik Liebl   Annals of Applied Statistics

Prediction, operations, and condition monitoring in wind energy

(2013) Andrew Kusiak et al.   ENERGY

Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

(2013) Da Liu et al.   RENEWABLE ENERGY

New Parameter-Free Simplified Swarm Optimization for Artificial Neural Network Training and its Application in the Prediction of Time Series

(2013) Wei-Chang Yeh   IEEE Transactions on Neural Networks and Learning Systems

Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output

(2012) Federico Cassola et al.   APPLIED ENERGY

Fine tuning support vector machines for short-term wind speed forecasting

(2011) Junyi Zhou et al.   ENERGY CONVERSION AND MANAGEMENT

Comprehensive evaluation of ARMA–GARCH(-M) approaches for modeling the mean and volatility of wind speed

(2010) Heping Liu et al.   APPLIED ENERGY

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

(2010) Ergin Erdem et al.   APPLIED ENERGY

A hybrid statistical method to predict wind speed and wind power

(2010) Hui Liu et al.   RENEWABLE ENERGY

Day ahead price forecasting of electricity markets by a mixed data model and hybrid forecast method

(2008) Nima Amjady et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS