Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function

Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network

(2022) Vishalteja Kosana et al.   ELECTRIC POWER SYSTEMS RESEARCH

Hybrid convolutional Bi-LSTM autoencoder framework for short-term wind speed prediction

(2022) Vishalteja Kosana et al.   NEURAL COMPUTING & APPLICATIONS

WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network

(2021) Hakan Acikgoz et al.   ENERGY

Multi-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention

(2020) Kumar Shivam et al.   Energies

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

(2020) Sinvaldo Rodrigues Moreno et al.   ENERGY CONVERSION AND MANAGEMENT

Assessment of critical parameters for artificial neural networks based short-term wind generation forecasting

(2020) V.N. Sewdien et al.   RENEWABLE ENERGY

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

(2020) Aytaç Altan et al.   APPLIED SOFT COMPUTING

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns

(2020) Kasun Bandara et al.   IEEE Transactions on Neural Networks and Learning Systems

A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction

(2019) Neeraj Bokde et al.   Energies

Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecasting

(2019) Ping Jiang et al.   ENERGY

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

(2019) Zhendong Zhang et al.   APPLIED ENERGY

Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model

(2019) Chaoshun Li et al.   IEEE Transactions on Sustainable Energy

OUP accepted manuscript

(2018)   BIOINFORMATICS

A New Hybrid Prediction Method of Ultra-Short-Term Wind Power Forecasting Based on EEMD-PE and LSSVM Optimized by the GSA

(2018) Peng Lu et al.   Energies

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

(2018) Madasthu Santhosh 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

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

Interval Deep Generative Neural Network for Wind Speed Forecasting

(2018) Mahdi Khodayar et al.   IEEE Transactions on Smart Grid

Analysis of differencing and decomposition preprocessing methods for wind speed prediction

(2018) Neeraj Bokde et al.   APPLIED SOFT COMPUTING

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

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

(2018) Yuansheng Huang et al.   Sustainability

Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal

(2018) Yong Qin et al.   APPLIED 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

Short-Term Wind Speed or Power Forecasting With Heteroscedastic Support Vector Regression

(2016) Qinghua Hu et al.   IEEE Transactions on Sustainable 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

A review of combined approaches for prediction of short-term wind speed and power

(2014) A. Tascikaraoglu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Impact of Wind Forecast Error Statistics Upon Unit Commitment

(2012) Colm Lowery et al.   IEEE Transactions on Sustainable Energy