A novel decomposition-ensemble prediction model for ultra-short-term wind speed

Modes decomposition forecasting approach for ultra-short-term wind speed

(2021) Zhongda Tian   APPLIED SOFT COMPUTING

A novel genetic LSTM model for wind power forecast

(2021) Farah Shahid et al.   ENERGY

Multi-step short-term wind speed prediction based on integrated multi-model fusion

(2021) Zhongda Tian et al.   APPLIED ENERGY

A combination forecasting model of wind speed based on decomposition

(2021) Zhongda Tian et al.   Energy Reports

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

(2020) Kumar Shivam et al.   Energies

Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM

(2020) Zhongda Tian   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Backtracking search optimization algorithm-based least square support vector machine and its applications

(2020) Zhongda Tian   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Preliminary Research of Chaotic Characteristics and Prediction of Short-Term Wind Speed Time Series

(2020) Zhongda Tian   INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS

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

A self-organizing forecast of day-ahead wind speed: Selective ensemble strategy based on numerical weather predictions

(2020) Jing Zhao et al.   ENERGY

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

(2020) Huanling Hu et al.   RENEWABLE ENERGY

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

(2019) Neeraj Bokde et al.   Energies

An improved radial basis function neural network control strategy-based maximum power point tracking controller for wind power generation system

(2019) R Sitharthan et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

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

(2019) Chen Li et al.   ENERGY

Multi-step wind power forecast based on VMD-LSTM

(2019) Li Han et al.   IET Renewable Power Generation

Short-term wind speed forecasting approach using Ensemble Empirical Mode Decomposition and Deep Boltzmann Machine

(2019) Madasthu Santhosh et al.   Sustainable Energy Grids & Networks

A novel wind speed prediction method based on robust local mean decomposition, group method of data handling and conditional kernel density estimation

(2019) Yan Jiang 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

One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data

(2018) Xinyu Zhao et al.   ENERGY CONVERSION AND MANAGEMENT

Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer

(2018) Hannah Jessie Rani R. et al.   PLoS One

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Wind speed forecasting for wind farms: A method based on support vector regression

(2016) G. Santamaría-Bonfil et al.   RENEWABLE ENERGY

Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison

(2015) Carlos D. Zuluaga et al.   APPLIED ENERGY

A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

(2015) Jianzhou Wang et al.   ENERGY