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OpenAlex Citation Counts

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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:

Short-term probabilistic load forecasting method based on uncertainty estimation and deep learning model considering meteorological factors
Bin Li, Y. J. Mo, Feng Gao, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109804-109804
Closed Access | Times Cited: 10

Showing 10 citing articles:

Active distribution network chain fault risk assessment based on probabilistic risk of accident chains
Yihong Jiao, Zhibin Ma, Qing Ge, et al.
Electric Power Systems Research (2025) Vol. 242, pp. 111425-111425
Closed Access
Electric vehicle charging demand forecasting at charging stations under climate influence for electricity dispatching
Peilu Chen, Jianzhong Qin, Jinxi Dong, et al.
IET Power Electronics (2025)
Open Access
Online decoupling feature framework for optimal probabilistic load forecasting in concept drift environments
Chaojin Cao, Yaoyao He, Xiaodong Yang
Applied Energy (2025) Vol. 392, pp. 125952-125952
Closed Access
Probabilistic load forecasting based on quantile regression parallel CNN and BiGRU networks
Yuting Lu, Gaocai Wang, Xianfei Huang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 15-16, pp. 7439-7460
Closed Access | Times Cited: 3
A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy
Yi Yang, Qianyi Xing, Kang Wang, et al.
Applied Energy (2023) Vol. 356, pp. 122341-122341
Closed Access | Times Cited: 7
Electric load forecasting under false data injection attacks via denoising deep learning and generative adversarial networks
Fayezeh Mahmoudnezhad, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
IET Generation Transmission & Distribution (2024)
Open Access | Times Cited: 2
Electric Power Load Forecasting Method Based on Contrastive Learning and Attention Mechanism
Yang Bai, Tenglong Yu, Bing Hu, et al.
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) (2024), pp. 4449-4455
Closed Access
Research on supply-demand balance in China’s five southern provinces amidst fluctuations in regional wind and solar power generation and transmission faults
Jincan Zeng, Lang Tang, Minwei Liu, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Short-term load forecasting method based on multiple meteorological factors and improved TCN-LSTM
Mingshu Song, Changsheng Su, Yong Wang, et al.
Journal of Physics Conference Series (2024) Vol. 2914, Iss. 1, pp. 012007-012007
Open Access
Optimization of VMD-LSTM load power forecasting model based on OOLSSA algorithm
Chengxiang Li, Mingyu Yao, Lingling Lv, et al.
Journal of Industrial and Management Optimization (2024)
Open Access
Ensemble Learning by Stacking for Deterministic and Probabilistic Short-term Load Forecasting
Grzegorz Dudek
Research Square (Research Square) (2023)
Open Access
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