Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism

Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting

(2019) Yong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

(2019) Shouxiang Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting

(2018) Jingjing Song et al.   APPLIED ENERGY

Wind Speed Prediction with Spatio–Temporal Correlation: A Deep Learning Approach

(2018) Qiaomu Zhu et al.   Energies

A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

(2018) Jianzhou Wang 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

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

(2018) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

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

(2018) Zhongshan Yang et al.   APPLIED ENERGY

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

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

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

Short-term wind speed prediction: Hybrid of ensemble empirical mode decomposition, feature selection and error correction

(2017) Yan Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

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

Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine

(2017) Tian Peng et al.   ENERGY CONVERSION AND MANAGEMENT

An improved Wavelet Transform using Singular Spectrum Analysis for wind speed forecasting based on Elman Neural Network

(2017) Chuanjin Yu et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

(2017) Jyotirmayee Naik et al.   APPLIED SOFT COMPUTING

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform

(2016) Akin Tascikaraoglu et al.   APPLIED ENERGY

Short-term wind speed forecasting using empirical mode decomposition and feature selection

(2016) Chi Zhang et al.   RENEWABLE ENERGY

A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China

(2015) Yun Wang et al.   ENERGY

Short-term wind power prediction based on LSSVM–GSA model

(2015) Xiaohui Yuan et al.   ENERGY CONVERSION AND MANAGEMENT

A study on the empirical distribution of the scaled Hankel matrix eigenvalues

(2015) Hossein Hassani et al.   Journal of Advanced Research

Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks

(2013) Hui Liu et al.   APPLIED ENERGY

Evaluation of hybrid forecasting approaches for wind speed and power generation time series

(2012) Jing Shi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA–ANN model

(2010) Erasmo Cadenas et al.   RENEWABLE ENERGY

Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering

(2008) P. Louka et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Day-ahead wind speed forecasting using f-ARIMA models

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