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International Journal of Green Energy Volume 17, 2020 - Issue 5
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Articles

Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm

Mingxing YuDepartment of Information Engineering, Chaoyang Teachers College, Chaoyang, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8100-8431View further author information
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Pages 332-348 | Received 07 Dec 2019, Accepted 15 Feb 2020, Published online: 26 Feb 2020

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Huajian Yang, Wangqiang Niu, Xiaotong Wang & Wei Gu. (2023) Wind turbine output power forecasting based on temporal convolutional neural network and complete ensemble empirical mode decomposition with adaptive noise. International Journal of Green Energy 20:14, pages 1612-1627.
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Elham Ammar & George Xydis. (2023) Wind speed forecasting using deep learning and preprocessing techniques. International Journal of Green Energy 0:0, pages 1-29.
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Articles from other publishers (16)

Zhanhang Xiong, Jianjiang Yao, Yongmin Huang, Zhaoxu Yu & Yalei Liu. (2024) A wind speed forecasting method based on EMD-MGM with switching QR loss function and novel subsequence superposition. Applied Energy 353, pages 122248.
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Zahra Hajirahimi & Mehdi Khashei. (2022) Hybridization of hybrid structures for time series forecasting: a review. Artificial Intelligence Review 56:2, pages 1201-1261.
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Yulong Chen, Xue Hu & Lixin Zhang. (2022) A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model. Energy Reports 8, pages 14200-14219.
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Yuqi Dong, Jing Li, Zhenkun Liu, Xinsong Niu & Jianzhou Wang. (2022) Ensemble wind speed forecasting system based on optimal model adaptive selection strategy: Case study in China. Sustainable Energy Technologies and Assessments 53, pages 102535.
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Jikai Duan, Mingheng Chang, Xiangyue Chen, Wenpeng Wang, Hongchao Zuo, Yulong Bai & Bolong Chen. (2022) A combined short-term wind speed forecasting model based on CNN-RNN and linear regression optimization considering error. Renewable Energy.
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T.P. Latchoumi, K. Raja, Y. Jyothi, K. Balamurugan & Rajakumar Arul. (2022) Mine safety and risk prediction mechanism through nanocomposite and heuristic optimization algorithm. Measurement: Sensors 23, pages 100390.
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Yingqi Zhu. (2022) Research on adaptive combined wind speed prediction for each season based on improved gray relational analysis. Environmental Science and Pollution Research 30:5, pages 12317-12347.
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Mengzheng Lv, Jing Li, Xinsong Niu & Jianzhou Wang. (2022) Novel deterministic and probabilistic combined system based on deep learning and self-improved optimization algorithm for wind speed forecasting. Sustainable Energy Technologies and Assessments 52, pages 102186.
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Jinjin Zhang, Qian Zhang, Guoli Li, Junjie Wu, Can Wang & Zhi Li. (2022) Hybrid Model for Renewable Energy and Load Forecasting Based on Data Mining and EWT. Journal of Electrical Engineering & Technology 17:3, pages 1517-1532.
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Lian Lian & Kan He. (2021) Ultra-short-term wind speed prediction based on variational mode decomposition and optimized extreme learning machine. Wind Engineering 46:2, pages 556-571.
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Junhao Wu & Zhaocai Wang. (2022) A Hybrid Model for Water Quality Prediction Based on an Artificial Neural Network, Wavelet Transform, and Long Short-Term Memory. Water 14:4, pages 610.
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Lian Lian. (2022) Wind speed prediction based on CEEMD-SE and multiple echo state network with Gauss–Markov fusion. Review of Scientific Instruments 93:1.
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Zhongda Tian, Hao Li & Feihong Li. (2021) A combination forecasting model of wind speed based on decomposition. Energy Reports 7, pages 1217-1233.
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Md. Abul Kalam Azad, Abu Reza Md. Towfiqul Islam, Md. Siddiqur Rahman & Kurratul Ayen. (2021) Development of novel hybrid machine learning models for monthly thunderstorm frequency prediction over Bangladesh. Natural Hazards 108:1, pages 1109-1135.
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Wei Sun & Junjian Zhang. (2020) Carbon Price Prediction Based on Ensemble Empirical Mode Decomposition and Extreme Learning Machine Optimized by Improved Bat Algorithm Considering Energy Price Factors. Energies 13:13, pages 3471.
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Paulo S. G. de Mattos Neto, Joao Fausto Lorenzato de Oliveira, Domingos Savio de Oliveira Santos Junior, Hugo Valadares Siqueira, Manoel Henrique Da Nobrega Marinho & Francisco Madeiro. (2020) A Hybrid Nonlinear Combination System for Monthly Wind Speed Forecasting. IEEE Access 8, pages 191365-191377.
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