An intensive decomposition integration paradigm for short-term wind power forecasting based on feature extraction and optimal weighted combination strategy

Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting

(2022) Huafeng Xian et al.   APPLIED SOFT COMPUTING

Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks

(2021) K.U. Jaseena et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step ahead short-term wind speed forecasting approach coupling variational mode decomposition, improved beetle antennae search algorithm-based synchronous optimization and Volterra series model

(2021) Wenlong Fu et al.   RENEWABLE ENERGY

Improving short-term wind power prediction using hybrid improved cuckoo search arithmetic - Support vector regression machine

(2020) Ling-ling Li et al.   JOURNAL OF CLEANER PRODUCTION

Wind power forecasting – A data-driven method along with gated recurrent neural network

(2020) Adam Kisvari et al.   RENEWABLE ENERGY

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

(2019) Jinhua Zhang et al.   APPLIED ENERGY

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

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

(2019) Zhendong Zhang et al.   APPLIED ENERGY

Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems

(2019) Qingguo Zhou et al.   APPLIED ENERGY

Wind speed prediction method based on Empirical Wavelet Transform and New Cell Update Long Short-Term Memory network

(2019) Shaoqian Pei et al.   ENERGY CONVERSION AND MANAGEMENT

Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction

(2019) Zherui Ma et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind speed prediction model based on GA-ANN improved by VMD

(2019) Yagang Zhang et al.   RENEWABLE ENERGY

Achieving a minimum power fluctuation rate in wind and photovoltaic output power using discrete Kalman filter based on weighted average approach

(2018) Dipesh Lamsal et al.   IET Renewable Power Generation

Wind turbine power curve modeling based on Gaussian Processes and Artificial Neural Networks

(2018) Bartolomé Manobel et al.   RENEWABLE ENERGY

An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm

(2018) Hui Liu et al.   RENEWABLE ENERGY

Spatio-Temporal Asymmetry of Local Wind Fields and Its Impact on Short-Term Wind Forecasting

(2018) Ahmed Aziz Ezzat et al.   IEEE Transactions on Sustainable Energy

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 Hybrid Wind Speed Forecasting System Based on a ‘Decomposition and Ensemble’ Strategy and Fuzzy Time Series

(2017) Hufang Yang et al.   Energies

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

Forecasting wind power – Modeling periodic and non-linear effects under conditional heteroscedasticity

(2016) Florian Ziel et al.   APPLIED ENERGY

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

(2016) Akin Tascikaraoglu et al.   APPLIED ENERGY

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

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

Wind power day-ahead prediction with cluster analysis of NWP

(2016) Lei Dong et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting

(2016) Ye Ren et al.   IEEE Transactions on Neural Networks and Learning Systems

Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods

(2015) Jie Zhang et al.   APPLIED ENERGY

Forecasting of global horizontal irradiance by exponential smoothing, using decompositions

(2015) Dazhi Yang et al.   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

Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA

(2015) Osamah Basheer Shukur et al.   RENEWABLE ENERGY

Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

(2013) Da Liu et al.   RENEWABLE ENERGY

Wind forecasts for wind power generation using the Eta model

(2009) Lazar Lazić et al.   RENEWABLE ENERGY