
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:
Short-term prediction of integrated energy load aggregation using a bi-directional simple recurrent unit network with feature-temporal attention mechanism ensemble learning model
Yan Qin, Zhiying Lu, Hong Liu, et al.
Applied Energy (2023) Vol. 355, pp. 122159-122159
Closed Access | Times Cited: 12
Yan Qin, Zhiying Lu, Hong Liu, et al.
Applied Energy (2023) Vol. 355, pp. 122159-122159
Closed Access | Times Cited: 12
Showing 12 citing articles:
Using Crested Porcupine Optimizer Algorithm and CNN-LSTM-Attention Model Combined with Deep Learning Methods to Enhance Short-Term Power Forecasting in PV Generation
Yiling Fan, Zhuang Ma, Wanwei Tang, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3435-3435
Open Access | Times Cited: 6
Yiling Fan, Zhuang Ma, Wanwei Tang, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3435-3435
Open Access | Times Cited: 6
A deep belief network-based energy consumption prediction model for water source heat pump system
Yabin Guo, Yaxin Liu, Yuhua Wang, et al.
Applied Thermal Engineering (2024) Vol. 255, pp. 124000-124000
Closed Access | Times Cited: 3
Yabin Guo, Yaxin Liu, Yuhua Wang, et al.
Applied Thermal Engineering (2024) Vol. 255, pp. 124000-124000
Closed Access | Times Cited: 3
Ultra-short-term multi-energy load forecasting for integrated energy systems based on multi-dimensional coupling characteristic mining and multi-task learning
Nantian Huang, Xinran Wang, Hao Wang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 2
Nantian Huang, Xinran Wang, Hao Wang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 2
Attention-Based Load Forecasting with Bidirectional Finetuning
Firuz Kamalov, Inga Zicmane, Murodbek Safaraliev, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4699-4699
Open Access | Times Cited: 1
Firuz Kamalov, Inga Zicmane, Murodbek Safaraliev, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4699-4699
Open Access | Times Cited: 1
Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: data generation, incremental learning, transfer learning, and physics-informed
Guannan Li, Lei Zhan, Xi Fang, et al.
Energy (2024), pp. 133640-133640
Closed Access | Times Cited: 1
Guannan Li, Lei Zhan, Xi Fang, et al.
Energy (2024), pp. 133640-133640
Closed Access | Times Cited: 1
Ensemble adversarial training-based robust model for multi-horizon dynamic line rating forecasting against adversarial attacks
Najmul Alam, M. A. Rahman, Md. Rashidul Islam, et al.
Electric Power Systems Research (2024) Vol. 241, pp. 111289-111289
Closed Access | Times Cited: 1
Najmul Alam, M. A. Rahman, Md. Rashidul Islam, et al.
Electric Power Systems Research (2024) Vol. 241, pp. 111289-111289
Closed Access | Times Cited: 1
Probabilistic load forecasting for integrated energy systems based on quantile regression patch time series Transformer
Wei Zhang, Hongyi Zhan, Hang Sun, et al.
Energy Reports (2024) Vol. 13, pp. 303-317
Closed Access | Times Cited: 1
Wei Zhang, Hongyi Zhan, Hang Sun, et al.
Energy Reports (2024) Vol. 13, pp. 303-317
Closed Access | Times Cited: 1
International Collaborations and Hotspots in Power Systems and New Energy Research: A Bibliometric Analysis
Bowen Dong, Yixuan Yuan, Yan Liu, et al.
(2024)
Closed Access
Bowen Dong, Yixuan Yuan, Yan Liu, et al.
(2024)
Closed Access
Leveraging heterogeneous networks to analyze energy storage systems in power systems and renewable energy research: a scientometric study
Bowen Dong, Zhen Guo, Aliya Mulat, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Bowen Dong, Zhen Guo, Aliya Mulat, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Neural Network Models for Approximation of One-Dimensional Signals
Eugene Fedorov, Vira Babenko, Artem Honcharov, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 189-202
Closed Access
Eugene Fedorov, Vira Babenko, Artem Honcharov, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 189-202
Closed Access
Single Well Production Prediction Model of Gas Reservoir Based on CNN-BILSTM-AM
Daihong Gu, Rongchen Zheng, Peng Cheng, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5674-5674
Open Access
Daihong Gu, Rongchen Zheng, Peng Cheng, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5674-5674
Open Access
Day-ahead prediction of electric vehicle charging demand based on quadratic decomposition and dual attention mechanisms
Hongxia Guo, Lingxuan Chen, Zhaocai Wang, et al.
Applied Energy (2024) Vol. 381, pp. 125198-125198
Closed Access
Hongxia Guo, Lingxuan Chen, Zhaocai Wang, et al.
Applied Energy (2024) Vol. 381, pp. 125198-125198
Closed Access