
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:
Graph optimization neural network with spatio-temporal correlation learning for multi-node offshore wind speed forecasting
Xiulin Geng, Lingyu Xu, Xiaoyu He, et al.
Renewable Energy (2021) Vol. 180, pp. 1014-1025
Closed Access | Times Cited: 55
Xiulin Geng, Lingyu Xu, Xiaoyu He, et al.
Renewable Energy (2021) Vol. 180, pp. 1014-1025
Closed Access | Times Cited: 55
Showing 1-25 of 55 citing articles:
Short term wind power prediction for regional wind farms based on spatial-temporal characteristic distribution
Guangzheng Yu, Chengquan Liu, Bo Tang, et al.
Renewable Energy (2022) Vol. 199, pp. 599-612
Closed Access | Times Cited: 72
Guangzheng Yu, Chengquan Liu, Bo Tang, et al.
Renewable Energy (2022) Vol. 199, pp. 599-612
Closed Access | Times Cited: 72
An imputation and decomposition algorithms based integrated approach with bidirectional LSTM neural network for wind speed prediction
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 278, pp. 127799-127799
Closed Access | Times Cited: 49
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 278, pp. 127799-127799
Closed Access | Times Cited: 49
Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method
Fei Wang, Peng Chen, Zhao Zhen, et al.
Applied Energy (2022) Vol. 323, pp. 119579-119579
Closed Access | Times Cited: 61
Fei Wang, Peng Chen, Zhao Zhen, et al.
Applied Energy (2022) Vol. 323, pp. 119579-119579
Closed Access | Times Cited: 61
Review on Deep Learning Research and Applications in Wind and Wave Energy
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50
Sustainable energies and machine learning: An organized review of recent applications and challenges
Pouya Ifaei, Morteza Nazari‐Heris, Amir Saman Tayerani Charmchi, et al.
Energy (2022) Vol. 266, pp. 126432-126432
Closed Access | Times Cited: 47
Pouya Ifaei, Morteza Nazari‐Heris, Amir Saman Tayerani Charmchi, et al.
Energy (2022) Vol. 266, pp. 126432-126432
Closed Access | Times Cited: 47
A Spatiotemporal Directed Graph Convolution Network for Ultra-Short-Term Wind Power Prediction
Zhuo Li, Lin Ye, Yongning Zhao, et al.
IEEE Transactions on Sustainable Energy (2022) Vol. 14, Iss. 1, pp. 39-54
Closed Access | Times Cited: 40
Zhuo Li, Lin Ye, Yongning Zhao, et al.
IEEE Transactions on Sustainable Energy (2022) Vol. 14, Iss. 1, pp. 39-54
Closed Access | Times Cited: 40
Ultra-short-term Interval Prediction of Wind Power Based on Graph Neural Network and Improved Bootstrap Technique
Wenlong Liao, Shouxiang Wang, Birgitte Bak‐Jensen, et al.
Journal of Modern Power Systems and Clean Energy (2023) Vol. 11, Iss. 4, pp. 1100-1114
Open Access | Times Cited: 32
Wenlong Liao, Shouxiang Wang, Birgitte Bak‐Jensen, et al.
Journal of Modern Power Systems and Clean Energy (2023) Vol. 11, Iss. 4, pp. 1100-1114
Open Access | Times Cited: 32
Offshore wind speed assessment with statistical and attention-based neural network methods based on STL decomposition
Li Xu, Yanxia Ou, Jingjing Cai, et al.
Renewable Energy (2023) Vol. 216, pp. 119097-119097
Closed Access | Times Cited: 29
Li Xu, Yanxia Ou, Jingjing Cai, et al.
Renewable Energy (2023) Vol. 216, pp. 119097-119097
Closed Access | Times Cited: 29
GGNet: A novel graph structure for power forecasting in renewable power plants considering temporal lead-lag correlations
Nanyang Zhu, Ying Wang, Kun Yuan, et al.
Applied Energy (2024) Vol. 364, pp. 123194-123194
Closed Access | Times Cited: 13
Nanyang Zhu, Ying Wang, Kun Yuan, et al.
Applied Energy (2024) Vol. 364, pp. 123194-123194
Closed Access | Times Cited: 13
Refined offshore wind speed prediction: Leveraging a two-layer decomposition technique, gated recurrent unit, and kernel density estimation for precise point and interval forecasts
Mie Wang, Feixiang Ying, Qianru Nan
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108435-108435
Closed Access | Times Cited: 12
Mie Wang, Feixiang Ying, Qianru Nan
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108435-108435
Closed Access | Times Cited: 12
GAOformer: An adaptive spatiotemporal feature fusion transformer utilizing GAT and optimizable graph matrixes for offshore wind speed prediction
Shengmao Lin, Shu Wang, Xuefang Xu, et al.
Energy (2024) Vol. 292, pp. 130404-130404
Closed Access | Times Cited: 9
Shengmao Lin, Shu Wang, Xuefang Xu, et al.
Energy (2024) Vol. 292, pp. 130404-130404
Closed Access | Times Cited: 9
Data-driven models in reliability analysis for tunnel structure: A systematic review
Wenbo Qin, Elton J. Chen, Fan Wang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105928-105928
Closed Access | Times Cited: 9
Wenbo Qin, Elton J. Chen, Fan Wang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105928-105928
Closed Access | Times Cited: 9
A location-centric transformer framework for multi-location short-term wind speed forecasting
Luyang Zhao, Changliang Liu, Chaojie Yang, et al.
Energy Conversion and Management (2025) Vol. 328, pp. 119627-119627
Closed Access | Times Cited: 1
Luyang Zhao, Changliang Liu, Chaojie Yang, et al.
Energy Conversion and Management (2025) Vol. 328, pp. 119627-119627
Closed Access | Times Cited: 1
Mixformer: Mixture transformer with hierarchical context for spatio-temporal wind speed forecasting
Tangjie Wu, Qiang Ling
Energy Conversion and Management (2023) Vol. 299, pp. 117896-117896
Closed Access | Times Cited: 20
Tangjie Wu, Qiang Ling
Energy Conversion and Management (2023) Vol. 299, pp. 117896-117896
Closed Access | Times Cited: 20
Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting
Ziheng Gao, Zhuolin Li, Lingyu Xu, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110294-110294
Closed Access | Times Cited: 17
Ziheng Gao, Zhuolin Li, Lingyu Xu, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110294-110294
Closed Access | Times Cited: 17
A novel dynamic spatio-temporal graph convolutional network for wind speed interval prediction
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Energy (2024) Vol. 294, pp. 130930-130930
Closed Access | Times Cited: 7
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Energy (2024) Vol. 294, pp. 130930-130930
Closed Access | Times Cited: 7
Modeling and predicting energy consumption of chiller based on dynamic spatial-temporal graph neural network
Qun Liu, Cheng Xiang-dong, Shi Jianzhong, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109657-109657
Closed Access | Times Cited: 6
Qun Liu, Cheng Xiang-dong, Shi Jianzhong, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109657-109657
Closed Access | Times Cited: 6
Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations
Mao Yang, Y. Huang, Chuanyu Xu, et al.
Applied Energy (2024) Vol. 377, pp. 124631-124631
Closed Access | Times Cited: 6
Mao Yang, Y. Huang, Chuanyu Xu, et al.
Applied Energy (2024) Vol. 377, pp. 124631-124631
Closed Access | Times Cited: 6
A robust De-Noising Autoencoder imputation and VMD algorithm based deep learning technique for short-term wind speed prediction ensuring cyber resilience
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 283, pp. 129080-129080
Closed Access | Times Cited: 14
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 283, pp. 129080-129080
Closed Access | Times Cited: 14
Short-term load forecasting using spatial-temporal embedding graph neural network
Chuyuan Wei, Dechang Pi, Mingtian Ping, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109873-109873
Closed Access | Times Cited: 13
Chuyuan Wei, Dechang Pi, Mingtian Ping, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109873-109873
Closed Access | Times Cited: 13
Non-crossing quantile probabilistic forecasting of cluster wind power considering spatio-temporal correlation
Yuejiang Chen, Jiang‐Wen Xiao, Yan‐Wu Wang, et al.
Applied Energy (2024) Vol. 377, pp. 124356-124356
Closed Access | Times Cited: 5
Yuejiang Chen, Jiang‐Wen Xiao, Yan‐Wu Wang, et al.
Applied Energy (2024) Vol. 377, pp. 124356-124356
Closed Access | Times Cited: 5
A wind speed forecasting framework for multiple turbines based on adaptive gate mechanism enhanced multi-graph attention networks
Yufeng Wang, Zihan Yang, Jianhua Ma, et al.
Applied Energy (2024) Vol. 372, pp. 123777-123777
Closed Access | Times Cited: 4
Yufeng Wang, Zihan Yang, Jianhua Ma, et al.
Applied Energy (2024) Vol. 372, pp. 123777-123777
Closed Access | Times Cited: 4
Design and Implementation of an Unmanned Aerial Vehicle for Simultaneous Localization and Mapping Algorithm
Khoa Nguyen Dang, Tran Thi Van, Vijender Kumar Solanki, et al.
Cognitive science and technology (2025), pp. 205-229
Closed Access
Khoa Nguyen Dang, Tran Thi Van, Vijender Kumar Solanki, et al.
Cognitive science and technology (2025), pp. 205-229
Closed Access
Short-term offshore wind speed forecasting approach based on multi-stage decomposition and deep residual network with self-attention
Hakan Açıkgöz, Deniz Korkmaz
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110313-110313
Closed Access
Hakan Açıkgöz, Deniz Korkmaz
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110313-110313
Closed Access
Day-ahead wind farm cluster power prediction based on trend categorization and spatial information integration model
Mao Yang, Yang Jiang, Chuanyu Xu, et al.
Applied Energy (2025) Vol. 388, pp. 125580-125580
Closed Access
Mao Yang, Yang Jiang, Chuanyu Xu, et al.
Applied Energy (2025) Vol. 388, pp. 125580-125580
Closed Access