Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach

Energy ◽

10.1016/j.energy.2021.122128 ◽

2022 ◽

Vol 239 ◽

pp. 122128

Author(s):

Rui Yang ◽

Hui Liu ◽

Nikolaos Nikitas ◽

Zhu Duan ◽

Yanfei Li ◽

...

Keyword(s):

Reinforcement Learning ◽

Error Correction ◽

Wind Speed Forecasting ◽

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A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections

Renewable Energy ◽

10.1016/j.renene.2020.11.002 ◽

2021 ◽

Vol 165 ◽

pp. 573-594

Author(s):

Hui Liu ◽

Rui Yang ◽

Tiantian Wang ◽

Lei Zhang

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Hybrid Neural Network ◽

Wind Speed Forecasting ◽

Error Corrections ◽

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A hybrid method for short-term wind speed forecasting based on Bayesian optimization and error correction

Journal of Renewable and Sustainable Energy ◽

10.1063/5.0048686 ◽

2021 ◽

Vol 13 (3) ◽

pp. 036101

Author(s):

Xiuting Guo ◽

Changsheng Zhu ◽

Jie Hao ◽

Shengcai Zhang ◽

Lina Zhu

Keyword(s):

Error Correction ◽

Hybrid Method ◽

Bayesian Optimization ◽

Wind Speed Forecasting

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Short-term wind speed forecasting using recurrent neural networks with error correction

Energy ◽

10.1016/j.energy.2020.119397 ◽

2021 ◽

Vol 217 ◽

pp. 119397

Author(s):

Jikai Duan ◽

Hongchao Zuo ◽

Yulong Bai ◽

Jizheng Duan ◽

Mingheng Chang ◽

...

Keyword(s):

Neural Networks ◽

Error Correction ◽

Recurrent Neural Networks ◽

Wind Speed Forecasting

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A compound framework for wind speed forecasting based on comprehensive feature selection, quantile regression incorporated into convolutional simplified long short-term memory network and residual error correction

Energy Conversion and Management ◽

10.1016/j.enconman.2020.113234 ◽

2020 ◽

Vol 222 ◽

pp. 113234 ◽

Author(s):

Kai Wang ◽

Wenlong Fu ◽

Tie Chen ◽

Binqiao Zhang ◽

Dongzhen Xiong ◽

...

Keyword(s):

Feature Selection ◽

Quantile Regression ◽

Error Correction ◽

Short Term Memory ◽

Term Memory ◽

Wind Speed Forecasting ◽

Memory Network ◽

Long Short Term Memory

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Wind speed forecasting using a new multi-factor fusion and multi-resolution ensemble model with real-time decomposition and adaptive error correction

Energy Conversion and Management ◽

10.1016/j.enconman.2020.112995 ◽

2020 ◽

Vol 217 ◽

pp. 112995 ◽

Author(s):

Hui Liu ◽

Rui Yang ◽

Zhu Duan

Keyword(s):

Error Correction ◽

Real Time ◽

Ensemble Model ◽

Wind Speed Forecasting ◽

Time Decomposition

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Meta Learning-Based Hybrid Ensemble Approach for Short-Term Wind Speed Forecasting

IEEE Access ◽

10.1109/access.2020.3025811 ◽

2020 ◽

Vol 8 ◽

pp. 172859-172868

Author(s):

Zhengwei Ma ◽

Sensen Guo ◽

Gang Xu ◽

Saddam Aziz

Keyword(s):

Wind Speed Forecasting ◽

Ensemble Approach ◽

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Short-Term Wind Speed Forecasting Using Ensemble Learning

2021 7th International Conference on Electrical Energy Systems (ICEES) ◽

10.1109/icees51510.2021.9383718 ◽

2021 ◽

Author(s):

M. Karthikeyan ◽

R. Rengaraj

Keyword(s):

Ensemble Learning ◽

Wind Speed Forecasting

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Ultra-short-term Wind Speed Forecasting Based on a Hybrid FEEMD-ICS-LSSVM Method

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9327808 ◽

2020 ◽

Author(s):

Xin Yang ◽

Hao Zhou

Keyword(s):

Wind Speed Forecasting

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Very short-term wind speed forecasting with Bayesian structural break model

Renewable Energy ◽

10.1016/j.renene.2012.07.041 ◽

2013 ◽

Vol 50 ◽

pp. 637-647 ◽

Author(s):

Yu Jiang ◽

Zhe Song ◽

Andrew Kusiak

Keyword(s):

Structural Break ◽

Wind Speed Forecasting

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Bayesian Optimization Based ANN Model for Short Term Wind Speed Forecasting in Newfoundland, Canada

2020 IEEE Electric Power and Energy Conference (EPEC) ◽

10.1109/epec48502.2020.9320075 ◽

2020 ◽

Author(s):

Habibur Rahaman ◽

T. M. Rubaith Bashar ◽

Mohammad Munem ◽

Md. Hasibul Hasan Hasib ◽

Hasan Mahmud ◽

...

Keyword(s):

Bayesian Optimization ◽

Ann Model ◽

Wind Speed Forecasting

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