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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 hybrid SVR with the firefly algorithm enhanced by a logarithmic spiral for electric load forecasting
Weiguo Zhang, Linlin Gu, Shi Yang, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 11

Showing 11 citing articles:

Advanced computational techniques: Bridging metaheuristic optimization and deep learning for material design through image enhancement
Jagrati Talreja, Divya Chauhan
Elsevier eBooks (2025), pp. 197-228
Closed Access
A hybrid prediction method for short‐term load based on temporal convolutional networks and attentional mechanisms
Min Li, Hangwei Tian, Qinghui Chen, et al.
IET Generation Transmission & Distribution (2023) Vol. 18, Iss. 5, pp. 885-898
Open Access | Times Cited: 7
A new Frontier in electric load forecasting: The LSV/MOPA model optimized by modified orca predation algorithm
Guanyu Yan, Jinyu Wang, Myo T. Thwin
Heliyon (2024) Vol. 10, Iss. 2, pp. e24183-e24183
Open Access | Times Cited: 2
Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network
Hongyi Li, Shenhao Li, Yuxin Wu, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1
Application of fuzzy support vector regression machine in power load prediction
Yan Xia, Shun Yu, Jiang Liu, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 5, pp. 8027-8048
Closed Access | Times Cited: 2
Applications of empirical wavelet decomposition, statistical feature extraction, and antlion algorithm with support vector regression for resident electricity consumption forecasting
Guo‐Feng Fan, Ruotong Zhang, Cen-Cen Cao, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 21, pp. 20139-20163
Closed Access | Times Cited: 2
Short Term Power Load Combination Forecasting Method Based on Feature Extraction
Q. Chen, Genghuang Yang, Liqing Geng
IEEE Access (2024) Vol. 12, pp. 51619-51629
Open Access
Design and Modeling of an AI-Powered Industrial Maximum Demand Controller With Web Service Interface
Abudhahir Buhari, Asif Iqbal Hajamydeen, Tadiwa Elisha Nyamasvisva, et al.
Advances in chemical and materials engineering book series (2024), pp. 23-80
Closed Access
Summary of Demand-side Response and Energy Transaction Strategy of Intelligent Building Clusters Driven by Data
Chenxi Jia, Long Zhang, Chuanjin Zhang, et al.
Journal of Sustainability for Energy (2022) Vol. 1, Iss. 1, pp. 8-17
Open Access | Times Cited: 2
A study on Short-Term Electricity Load Forecasting for Industrial Parks method using QPSO-TCN Based on Autoencoder
Yang Zhang, Ruxue Jing, Xia Zhang, et al.
(2023), pp. 180-187
Closed Access
Multivariate load forecasting of integrated energy system based on GBLA
Pei He, Xiaodong Wang, Yangming Guo
(2023), pp. 1-6
Closed Access
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