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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:

A data-driven load forecasting method for incentive demand response
Haixin Wang, Jiahui Yuan, Guanqiu Qi, et al.
Energy Reports (2022) Vol. 8, pp. 1013-1019
Open Access | Times Cited: 11

Showing 11 citing articles:

Comprehensive review of load forecasting with emphasis on intelligent computing approaches
Hong Wang, Khalid A. Alattas, Ardashir Mohammadzadeh, et al.
Energy Reports (2022) Vol. 8, pp. 13189-13198
Open Access | Times Cited: 47
A weather station selection method based on the simulated annealing algorithm for electric load forecasting
Narjes Salmabadi, Majid Salari, Alireza Shadman
Neural Computing and Applications (2025)
Closed Access
The First Step Towards Energy Self-Sufficiency in Smart Cities: The Present and Future of Virtual Power Plant Technology
Jongbaek An, Juwon Hong, Hyuna Kang, et al.
Building and Environment (2025), pp. 112920-112920
Closed Access
Survey of Electricity Demand Forecasting and Demand Side Management Techniques in Different Sectors to Identify Scope for Improvement
Megha Sharma, Namita Mittal, Anukram Mishra, et al.
Smart Grids and Sustainable Energy (2023) Vol. 8, Iss. 2
Open Access | Times Cited: 11
Rating the participation in Demand Response events with a contextual approach to improve accuracy of aggregated schedule
Cátia Silva, Pedro Faria, Zita Vale, et al.
Energy Reports (2022) Vol. 8, pp. 8282-8300
Open Access | Times Cited: 9
A flexible interactive coordination control method of commercial virtual power plant based on WCVAR
Shenghong Hu, Yulin Chen, Jian Feng
International Journal of Electrical Power & Energy Systems (2024) Vol. 160, pp. 110128-110128
Open Access | Times Cited: 1
Research on Electric Load Forecasting and User Benefit Maximization Under Demand-Side Response
Wenna Zhao, Guoxing Mu, Yanfang Zhu, et al.
International Journal of Swarm Intelligence Research (2023) Vol. 14, Iss. 1, pp. 1-20
Open Access | Times Cited: 3
A residential user classification approach based on the graded portrait with considering the IDR adaptability and potential
Yifan Huang, Yang Liu, Lixiong Xu, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 3
Efficient utilization of demand side resources behind the meter: Assessment, profiling and scheduling
Fengyuan Jin, Xin Huang, Chengcheng Shao
The Electricity Journal (2022) Vol. 35, Iss. 5, pp. 107123-107123
Closed Access | Times Cited: 2
Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption
Daniel Ramos, Pedro Faria, Zita Vale
Lecture notes in computer science (2023), pp. 51-62
Closed Access
Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity Consumption
Daniel Ramos, Pedro Faria, Zita Vale
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (2023), pp. 1-5
Closed Access
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