Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting

A novel deep learning ensemble model with data denoising for short-term wind speed forecasting

(2020) Zhiyun Peng et al.   ENERGY CONVERSION AND MANAGEMENT

A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets

(2020) Gholamreza Memarzadeh et al.   ENERGY CONVERSION AND MANAGEMENT

Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting

(2019) Aasim et al.   RENEWABLE ENERGY

Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system

(2019) Han Wang et al.   APPLIED ENERGY

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

(2019) Hui Liu et al.   APPLIED ENERGY

A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting

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

A novel ensemble model of different mother wavelets for wind speed multi-step forecasting

(2018) Hui Liu et al.   APPLIED ENERGY

A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting

(2018) Chaoshun Li et al.   APPLIED 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

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

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

Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm

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

Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network

(2018) Jyotirmayee Naik et al.   RENEWABLE ENERGY

An adaptive dynamic short-term wind speed forecasting model using secondary decomposition and an improved regularized extreme learning machine

(2018) Na Sun et al.   ENERGY

A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine

(2018) Dan Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

A review and discussion of decomposition-based hybrid models for wind energy forecasting applications

(2018) Zheng Qian et al.   APPLIED ENERGY

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

(2017) Wenyu Zhang 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

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

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

Modelling the potential for wind energy integration on China’s coal-heavy electricity grid

(2016) Michael R. Davidson et al.   Nature Energy

Challenges faced by China compared with the US in developing wind power

(2016) Xi Lu et al.   Nature Energy

Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks

(2015) Hui Liu et al.   APPLIED ENERGY

Deep learning

(2015) Yann LeCun et al.   NATURE

New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks

(2015) Hui Liu et al.   RENEWABLE ENERGY

A Comparative Study of Empirical Mode Decomposition-Based Short-Term Wind Speed Forecasting Methods

(2015) Ye Ren et al.   IEEE Transactions on Sustainable Energy

Forecasting wind speed using empirical mode decomposition and Elman neural network

(2014) Jujie Wang et al.   APPLIED SOFT COMPUTING

Variational Mode Decomposition

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