Hybrid wind speed prediction model based on recurrent long short-term memory neural network and support vector machine models

Direct Multistep Wind Speed Forecasting Using LSTM Neural Network Combining EEMD and Fuzzy Entropy

(2019) Qiong Qin et al.   Applied Sciences-Basel

Optimized nonlinear neural network architectural models for multistep wind speed forecasting

(2019) K. Maruliya Begam et al.   COMPUTERS & ELECTRICAL ENGINEERING

Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression

(2019) Hui Liu et al.   RENEWABLE ENERGY

An intelligent framework for short-term multi-step wind speed forecasting based on Functional Networks

(2018) Adil Ahmed et al.   APPLIED ENERGY

A hybrid system for short-term wind speed forecasting

(2018) Qingqing He et al.   APPLIED ENERGY

A hybrid forecasting approach applied in wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm

(2018) Zhongshan Yang et al.   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

Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization

(2018) Jie Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

(2018) Xiong Luo et al.   IEEE Transactions on Industrial Informatics

An intelligent method for wind power forecasting based on integrated power slope events prediction and wind speed forecasting

(2018) Fudong Li et al.   IEEJ Transactions on Electrical and Electronic Engineering

Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System

(2018) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization

(2018) Chengshi Tian et al.   APPLIED 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

Ensemble Recurrent Neural Network Based Probabilistic Wind Speed Forecasting Approach

(2018) Lilin Cheng et al.   Energies

A Hybrid Framework for Short Term Multi-Step Wind Speed Forecasting Based on Variational Model Decomposition and Convolutional Neural Network

(2018) Jianzhong Zhou et al.   Energies

A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm

(2018) Ya-Lan Hu et al.   ENERGY CONVERSION AND MANAGEMENT

Analyzing the correlation and predictability of wind speed series based on mutual information

(2018) Ziming Chen et al.   IEEJ Transactions on Electrical and Electronic Engineering

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

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

An improved random forest model of short-term wind-power forecasting to enhance accuracy, efficiency, and robustness

(2018) Kunpeng Shi et al.   WIND ENERGY

Wind Speed Prediction of IPSO-BP Neural Network Based on Lorenz Disturbance

(2018) Yagang Zhang et al.   IEEE Access

A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems

(2018) Chiou-Jye Huang et al.   Energies

Short-Term Wind Speed Forecasting Based on Signal Decomposing Algorithm and Hybrid Linear/Nonlinear Models

(2018) Qinkai Han et al.   Energies

Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

(2018) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

A novel framework for wind speed prediction based on recurrent neural networks and support vector machine

(2018) Chuanjin Yu et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting a short-term wind speed using a deep belief network combined with a local predictor

(2018) Y. Yu et al.   IEEJ Transactions on Electrical and Electronic Engineering

Wind Speed Forecasting Method Using EEMD and the Combination Forecasting Method Based on GPR and LSTM

(2018) Yuansheng Huang et al.   Sustainability

Artificial Combined Model Based on Hybrid Nonlinear Neural Network Models and Statistics Linear Models—Research and Application for Wind Speed Forecasting

(2018) Yuewei Liu et al.   Sustainability

A novel system based on neural networks with linear combination framework for wind speed forecasting

(2018) Jianzhou Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Hybrid algorithm for short-term forecasting of PM2.5 in China

(2018) Yong Cheng et al.   ATMOSPHERIC ENVIRONMENT

Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network

(2018) Zongxi Qu et al.   RENEWABLE ENERGY

Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy

(2018) Yanfei Li et al.   RENEWABLE ENERGY

Prediction of mean monthly wind speed and optimization of wind power by artificial neural networks using geographical and atmospheric variables: case of Aegean Region of Turkey

(2017) Deniz Ulkat et al.   NEURAL COMPUTING & APPLICATIONS

Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm

(2016) Anbo Meng et al.   ENERGY CONVERSION AND MANAGEMENT

The Ant Lion Optimizer

(2015) Seyedali Mirjalili   ADVANCES IN ENGINEERING SOFTWARE

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

(2015) Jianzhou Wang et al.   ENERGY

Selection of Proper Neural Network Sizes and Architectures—A Comparative Study

(2012) David Hunter et al.   IEEE Transactions on Industrial Informatics

A New Elman Neural Network-Based Control Algorithm for Adjustable-Pitch Variable-Speed Wind-Energy Conversion Systems

(2010) Whei-Min Lin et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS