A novel hybrid model based on weather variables relationships improving applied for wind speed forecasting

International Journal of Energy and Environmental Engineering ◽

10.1007/s40095-021-00408-x ◽

2021 ◽

Author(s):

Hervice Roméo Fogno Fotso ◽

Claude Vidal Aloyem Kazé ◽

Germaine Djuidje Kenmoé

Keyword(s):

Hybrid Model ◽

Weather Variables ◽

Wind Speed Forecasting ◽

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A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting

Applied Energy ◽

10.1016/j.apenergy.2018.01.094 ◽

2018 ◽

Vol 215 ◽

pp. 131-144 ◽

Author(s):

Chaoshun Li ◽

Zhengguang Xiao ◽

Xin Xia ◽

Wen Zou ◽

Chu Zhang

Keyword(s):

Hybrid Model ◽

Wind Speed Forecasting ◽

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Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine

Energy Conversion and Management ◽

10.1016/j.enconman.2017.10.021 ◽

2017 ◽

Vol 153 ◽

pp. 589-602 ◽

Author(s):

Tian Peng ◽

Jianzhong Zhou ◽

Chu Zhang ◽

Yang Zheng

Keyword(s):

Extreme Learning Machine ◽

Hybrid Model ◽

Decomposition Technique ◽

Two Stage ◽

Wind Speed Forecasting ◽

Model Based ◽

Learning Machine

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A Hybrid Model Based on Multi-Stage Principal Component Extraction, GRU Network and KELM for Multi-Step Short-Term Wind Speed Forecasting

IEEE Access ◽

10.1109/access.2020.3043812 ◽

2020 ◽

Vol 8 ◽

pp. 222931-222943

Author(s):

Feng Zou ◽

Wenlong Fu ◽

Ping Fang ◽

Dongzhen Xiong ◽

Renming Wang

Keyword(s):

Hybrid Model ◽

Principal Component ◽

Wind Speed Forecasting ◽

Model Based ◽

Multi Stage ◽

Component Extraction

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A hybrid model based on data preprocessing strategy and error correction system for wind speed forecasting

Energy Conversion and Management ◽

10.1016/j.enconman.2020.112779 ◽

2020 ◽

Vol 212 ◽

pp. 112779 ◽

Author(s):

Ying Deng ◽

Bofu Wang ◽

Zhiming Lu

Keyword(s):

Error Correction ◽

Hybrid Model ◽

Data Preprocessing ◽

Wind Speed Forecasting ◽

Model Based ◽

Correction System

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A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China

International Journal of Green Energy ◽

10.1080/15435075.2014.961462 ◽

2015 ◽

Vol 13 (6) ◽

pp. 595-607 ◽

Author(s):

Shanshan Qin ◽

Jianzhou Wang ◽

Jie Wu ◽

Ge Zhao

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Hybrid Model ◽

Smooth Transition ◽

Wind Speed Forecasting ◽

Model Based ◽

Artificial Neural

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A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting

Energy Conversion and Management ◽

10.1016/j.enconman.2019.05.005 ◽

2019 ◽

Vol 195 ◽

pp. 180-197 ◽

Author(s):

Yagang Zhang ◽

Bing Chen ◽

Guifang Pan ◽

Yuan Zhao

Keyword(s):

Neural Network ◽

Hybrid Model ◽

Rbf Neural Network ◽

Wind Speed Forecasting ◽

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An Innovative Hybrid Model Based on Data Pre-Processing and Modified Optimization Algorithm and Its Application in Wind Speed Forecasting

Energies ◽

10.3390/en10070954 ◽

2017 ◽

Vol 10 (7) ◽

pp. 954 ◽

Author(s):

Ping Jiang ◽

Zeng Wang ◽

Kequan Zhang ◽

Wendong Yang

Keyword(s):

Hybrid Model ◽

Optimization Algorithm ◽

Wind Speed Forecasting ◽

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Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

Energy Conversion and Management ◽

10.1016/j.enconman.2021.113917 ◽

2021 ◽

Vol 233 ◽

pp. 113917

Author(s):

Ming-De Liu ◽

Lin Ding ◽

Yu-Long Bai

Keyword(s):

Neural Networks ◽

Empirical Mode Decomposition ◽

Hybrid Model ◽

Recurrent Neural Networks ◽

Wind Speed Prediction ◽

Model Based ◽

Mode Decomposition ◽

Speed Prediction

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A Novel Hybrid Model of Wind Speed Forecasting Based on EWT, BiLSTM, SVR Optimized by BOA in Inner Mongolia, China

Lecture Notes in Electrical Engineering - Proceedings of 2019 Chinese Intelligent Systems Conference ◽

10.1007/978-981-32-9686-2_23 ◽

2019 ◽

pp. 183-191

Author(s):

Renqiang Ding ◽

Wuneng Zhou ◽

Hangyang Cheng

Keyword(s):

Hybrid Model ◽

Inner Mongolia ◽

Wind Speed Forecasting

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A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting

Applied Energy ◽

10.1016/j.apenergy.2019.03.097 ◽

2019 ◽

Vol 241 ◽

pp. 519-539 ◽

Author(s):

Xinsong Niu ◽

Jiyang Wang

Keyword(s):

Optimization Algorithm ◽

Data Preprocessing ◽

Multi Objective Optimization ◽

Combined Model ◽

Wind Speed Forecasting ◽

Multi Objective ◽

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