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:
A PSO-LSTM Model of Offshore Wind Power Forecast considering the Variation of Wind Speed in Second-Level Time Scale
Chao Yuan, Yiming Tang, Rui Mei, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 7
Chao Yuan, Yiming Tang, Rui Mei, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 7
Showing 7 citing articles:
PSO-Based Ensemble Meta-Learning Approach for Cloud Virtual Machine Resource Usage Prediction
Habte Lejebo Leka, Fengli Zhang, Ayantu Tesfaye Kenea, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 613-613
Open Access | Times Cited: 8
Habte Lejebo Leka, Fengli Zhang, Ayantu Tesfaye Kenea, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 613-613
Open Access | Times Cited: 8
Interval Forecasting Method of Aggregate Output for Multiple Wind Farms Using LSTM Networks and Time-Varying Regular Vine Copulas
Yanwen Wang, Yanying Sun, Yalong Li, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1530-1530
Open Access | Times Cited: 7
Yanwen Wang, Yanying Sun, Yalong Li, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1530-1530
Open Access | Times Cited: 7
Offshore wind power prediction based on two-stage hybrid modeling**
Jiajia Liang, Xiaoxia He, Haoyi Xiao, et al.
Energy Strategy Reviews (2024) Vol. 54, pp. 101468-101468
Open Access | Times Cited: 2
Jiajia Liang, Xiaoxia He, Haoyi Xiao, et al.
Energy Strategy Reviews (2024) Vol. 54, pp. 101468-101468
Open Access | Times Cited: 2
Wind power output prediction: a comparative study of extreme learning machine
Zheng-Chuang Wang, Jincai Niu
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 6
Zheng-Chuang Wang, Jincai Niu
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 6
AUV 3D Trajectory Prediction Based on CNN-LSTM
Juan Li, Wenbo Li
2022 IEEE International Conference on Mechatronics and Automation (ICMA) (2022), pp. 1227-1232
Closed Access | Times Cited: 4
Juan Li, Wenbo Li
2022 IEEE International Conference on Mechatronics and Automation (ICMA) (2022), pp. 1227-1232
Closed Access | Times Cited: 4
Research on Very Short-Term Nonparametric Probabilistic Prediction of Wind Power Based on Enhanced LSTM and Improved Bootstrap
Fuzhen Wei, Yanlai Zhou
2021 International Conference on Power System Technology (POWERCON) (2023), pp. 1-9
Closed Access
Fuzhen Wei, Yanlai Zhou
2021 International Conference on Power System Technology (POWERCON) (2023), pp. 1-9
Closed Access
Multi-Turbine Wind Power Forecasting with Simplified Firework Algorithm Optimized GCN-LSTM
Boxuan Liu, Boyang Hu, Zheng Wang, et al.
(2023), pp. 1-6
Closed Access
Boxuan Liu, Boyang Hu, Zheng Wang, et al.
(2023), pp. 1-6
Closed Access
