A CGRU multi-step wind speed forecasting model based on multi-label specific XGBoost feature selection and secondary decomposition

Ultra-short-term wind speed forecasting based on EMD-VAR model and spatial correlation

(2021) Zheyong Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

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

Deterministic and probabilistic multi-step forecasting for short-term wind speed based on secondary decomposition and a deep learning method

(2020) Ling Xiang et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind speed forecasting based on the Jaya-SVM model

(2020) Mingshuai Liu et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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

(2020) Guowei Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed forecasting based on variational mode decomposition and improved echo state network

(2020) Huanling Hu et al.   RENEWABLE ENERGY

An innovative hybrid system for wind speed forecasting based on fuzzy preprocessing scheme and multi-objective optimization

(2019) Chen Li et al.   ENERGY

Data-driven wind speed forecasting using deep feature extraction and LSTM

(2019) Yu-Xi Wu et al.   IET Renewable Power Generation

Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China

(2019) Wendong Yang et al.   JOURNAL OF CLEANER PRODUCTION

A gated recurrent unit neural networks based wind speed error correction model for short-term wind power forecasting

(2019) Min Ding et al.   NEUROCOMPUTING

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

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

(2019) Yishun Liu et al.   KNOWLEDGE-BASED SYSTEMS

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

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

(2018) Hui Liu et al.   APPLIED ENERGY

A novel short-term multi-input–multi-output prediction model of wind speed and wind power with LSSVM based on improved ant colony algorithm optimization

(2018) Jingxian Yang   Cluster Computing-The Journal of Networks Software Tools and Applications

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

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

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

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

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

Probabilistic Wind Power Forecasting with Hybrid Artificial Neural Networks

(2016) Can Wan et al.   ELECTRIC POWER COMPONENTS AND SYSTEMS

An entropy fusion method for feature extraction of EEG

(2016) Shunfei Chen et al.   NEURAL COMPUTING & APPLICATIONS

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

Application of extreme learning machine for estimation of wind speed distribution

(2015) Shahaboddin Shamshirband et al.   CLIMATE DYNAMICS

An Advanced Approach for Construction of Optimal Wind Power Prediction Intervals

(2015) Guoyong Zhang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system

(2015) Hui Liu et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Wind speed prediction in the mountainous region of India using an artificial neural network model

(2015) P. Ramasamy et al.   RENEWABLE ENERGY

Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction

(2013) Niya Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting

(2013) Chao Ren et al.   KNOWLEDGE-BASED 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

A review on the forecasting of wind speed and generated power

(2008) Ma Lei et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS