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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Research and application of a combined model based on multi-objective optimization for multi-step ahead wind speed forecasting
Jianzhou Wang, Jiani Heng, Li‐Ye Xiao, et al.
Energy (2017) Vol. 125, pp. 591-613
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 538
Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
Jie Chen, Guo‐Qiang Zeng, Wuneng Zhou, et al.
Energy Conversion and Management (2018) Vol. 165, pp. 681-695
Closed Access | Times Cited: 365
Air Pollution Forecasts: An Overview
Lu Bai, Jianzhou Wang, Xuejiao Ma, et al.
International Journal of Environmental Research and Public Health (2018) Vol. 15, Iss. 4, pp. 780-780
Open Access | Times Cited: 326
A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
Ya-Lan Hu, Liang Chen
Energy Conversion and Management (2018) Vol. 173, pp. 123-142
Closed Access | Times Cited: 284
A novel hybrid system based on a new proposed algorithm—Multi-Objective Whale Optimization Algorithm for wind speed forecasting
Jianzhou Wang, Pei Du, Tong Niu, et al.
Applied Energy (2017) Vol. 208, pp. 344-360
Closed Access | Times Cited: 272
Wind power forecasting using attention-based gated recurrent unit network
Zhewen Niu, Zeyuan Yu, Wenhu Tang, et al.
Energy (2020) Vol. 196, pp. 117081-117081
Closed Access | Times Cited: 252
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM
Min-Rong Chen, Guo‐Qiang Zeng, Kang‐Di Lu, et al.
IEEE Internet of Things Journal (2019) Vol. 6, Iss. 4, pp. 6997-7010
Closed Access | Times Cited: 218
A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm
Jianzhou Wang, Wendong Yang, Pei Du, et al.
Energy Conversion and Management (2018) Vol. 163, pp. 134-150
Closed Access | Times Cited: 206
Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm
Linchao Li, Lingqiao Qin, Xu Qu, et al.
Knowledge-Based Systems (2019) Vol. 172, pp. 1-14
Closed Access | Times Cited: 197
A review of very short-term wind and solar power forecasting
Rosemary Tawn, Jethro Browell
Renewable and Sustainable Energy Reviews (2021) Vol. 153, pp. 111758-111758
Open Access | Times Cited: 176
Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
Hui Liu, Xiwei Mi, Yanfei Li, et al.
Renewable Energy (2019) Vol. 143, pp. 842-854
Closed Access | Times Cited: 174
A review on multi-objective optimization framework in wind energy forecasting techniques and applications
Hui Liu, Ye Li, Zhu Duan, et al.
Energy Conversion and Management (2020) Vol. 224, pp. 113324-113324
Closed Access | Times Cited: 154
Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
Peng Lu, Lin Ye, Yongning Zhao, et al.
Applied Energy (2021) Vol. 301, pp. 117446-117446
Closed Access | Times Cited: 129
Research and application of a hybrid forecasting framework based on multi-objective optimization for electrical power system
Jianzhou Wang, Wendong Yang, Pei Du, et al.
Energy (2018) Vol. 148, pp. 59-78
Closed Access | Times Cited: 152
A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting
Ping Jiang, Hufang Yang, Jiani Heng
Applied Energy (2018) Vol. 235, pp. 786-801
Closed Access | Times Cited: 152
An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm
Hui Liu, Xiwei Mi, Yanfei Li
Renewable Energy (2018) Vol. 123, pp. 694-705
Closed Access | Times Cited: 149
Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system
Xuejing Zhao, Chen Wang, Jinxia Su, et al.
Renewable Energy (2018) Vol. 134, pp. 681-697
Closed Access | Times Cited: 144
Different Models for Forecasting Wind Power Generation: Case Study
David Barbosa de Alencar, Carolina M. Affonso, Oliveira Júnior, et al.
Energies (2017) Vol. 10, Iss. 12, pp. 1976-1976
Open Access | Times Cited: 137
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks
Hui Liu, Xiwei Mi, Yanfei Li
Energy Conversion and Management (2017) Vol. 155, pp. 188-200
Closed Access | Times Cited: 128
Novel analysis–forecast system based on multi-objective optimization for air quality index
Hongmin Li, Jianzhou Wang, Ranran Li, et al.
Journal of Cleaner Production (2018) Vol. 208, pp. 1365-1383
Open Access | Times Cited: 126
A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization
Tian Cheng-shi, Hao Yan, Jianming Hu
Applied Energy (2018) Vol. 231, pp. 301-319
Closed Access | Times Cited: 124
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm
Hui Liu, Zhu Duan, Feng-ze Han, et al.
Energy Conversion and Management (2017) Vol. 156, pp. 525-541
Closed Access | Times Cited: 119
A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting
Jianzhou Wang, Tong Niu, Haiyan Lu, et al.
IEEE Transactions on Sustainable Energy (2019) Vol. 11, Iss. 1, pp. 337-349
Closed Access | Times Cited: 104
Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems
Qingguo Zhou, Chen Wang, Gaofeng Zhang
Applied Energy (2019) Vol. 250, pp. 1559-1580
Closed Access | Times Cited: 100
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