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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:

Multienergy Load Forecasting for Regional Integrated Energy Systems Considering Multienergy Coupling of Variation Characteristic Curves
Shouxiang Wang, Kaixin Wu, Qianyu Zhao, et al.
Frontiers in Energy Research (2021) Vol. 9
Open Access | Times Cited: 10

Showing 10 citing articles:

Review and prospect of data-driven techniques for load forecasting in integrated energy systems
Jizhong Zhu, Hanjiang Dong, Weiye Zheng, et al.
Applied Energy (2022) Vol. 321, pp. 119269-119269
Closed Access | Times Cited: 171
Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings
He Dasi, Ying Zhang, MD Faisal Bin Ashab
Energy (2024) Vol. 291, pp. 130297-130297
Closed Access | Times Cited: 20
A Hybrid GA–PSO–CNN Model for Ultra-Short-Term Wind Power Forecasting
Jie Liu, Quan Shi, Ruilian Han, et al.
Energies (2021) Vol. 14, Iss. 20, pp. 6500-6500
Open Access | Times Cited: 41
The innovative optimization techniques for forecasting the energy consumption of buildings using the shuffled frog leaping algorithm and different neural networks
Yiran Yang, Gang Li, Tao Luo, et al.
Energy (2022) Vol. 268, pp. 126548-126548
Closed Access | Times Cited: 25
Optimizing Attention in a Transformer for Multihorizon, Multienergy Load Forecasting in Integrated Energy Systems
Jili Fan, Wei Zhuang, Min Xia, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10238-10248
Closed Access | Times Cited: 4
Asynchronous adaptive federated learning for distributed load forecasting with smart meter data
Mohammad Navid Fekri, Katarina Grolinger, Syed Mir
International Journal of Electrical Power & Energy Systems (2023) Vol. 153, pp. 109285-109285
Open Access | Times Cited: 12
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
A novel data-driven multi-energy load forecasting model
Yong Yao, Shi‐Zhu Li, Zhichao Wu, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 9
Urban monthly power load forecasting based on economy-meteorology-gas demand coupling
Bin Ding, Fan Wang, Chen Chen, et al.
Electrical Engineering (2022) Vol. 104, Iss. 5, pp. 3497-3507
Closed Access | Times Cited: 7
Dynamic coupling across energy forms and hybrid simulation of the multi-energy system
Shuqing Zhang, Xianfa Hu, Xianggang He, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 2
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