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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:

Holographic Ensemble Forecasting Method for Short-Term Power Load
Mo Zhou, Min Jin
IEEE Transactions on Smart Grid (2017) Vol. 10, Iss. 1, pp. 425-434
Closed Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

An Ensemble Wavelet Deep Learning Approach for Short-term Load Forecasting
Zhiwei Song, Zhaojing Cao, Can Wan, et al.
(2019), pp. 1205-1210
Closed Access | Times Cited: 6
A decomposition-based approximate entropy cooperation long short-term memory ensemble model for short-term load forecasting
Jiehui Huang, Chunquan Li, Zhengyu Huang, et al.
Electrical Engineering (2021) Vol. 104, Iss. 3, pp. 1515-1525
Closed Access | Times Cited: 6
Dual possibilistic regression models of support vector machines and application in power load forecasting
Xianfei Yang, Xiang Yu, Hui Lu
International Journal of Distributed Sensor Networks (2020) Vol. 16, Iss. 5, pp. 155014772092163-155014772092163
Open Access | Times Cited: 4
Multi-category multi-state information ensemble-based classification method for precise diagnosis of three cancers
Xianfang Tang, Zhe Shi, Min Jin
Neural Computing and Applications (2021) Vol. 33, Iss. 22, pp. 15901-15917
Closed Access | Times Cited: 4
HFS-SLPEE: A Novel Hierarchical Feature Selection and Second Learning Probability Error Ensemble Model for Precision Cancer Diagnosis
Yajie Meng, Min Jin
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 4
Short-Term Load Forecasting With Deep Learning
V. Y. Kondaiah, B. Saravanan
2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (2021), pp. 1-5
Closed Access | Times Cited: 4
Short-Term Load Forecasting Method Based on Autoencoder and LSTNet Models
Yi Ding, Chao Pang, Liyong Wei, et al.
(2024)
Closed Access
Hyperparameter Tuning of Load-Forecasting Models Using Metaheuristic Optimization Algorithms—A Systematic Review
Umme Mumtahina, Sanath Alahakoon, Peter Wolfs
Mathematics (2024) Vol. 12, Iss. 21, pp. 3353-3353
Open Access
An Adaptive and Parallel Forecasting Strategy for Short-Term Power Load Based on Second Learning of Error Trend
Md Fazla Elahe, Min Jin, Pan Zeng
IEEE Access (2020) Vol. 8, pp. 201889-201899
Open Access | Times Cited: 3
Short‐term electricity load forecasting based on improved sparrow search algorithm with optimized BiLSTM
Ming Yang, Yi-Ming Zhang, Yuan Ai
Advanced Control for Applications (2023) Vol. 6, Iss. 2
Closed Access | Times Cited: 1
Integration of Ensemble GoogLeNet and Modified Deep Residual Networks for Short-Term Load Forecasting
Aijia Ding, Tingzhang Liu, Xue Min Zou
Electronics (2021) Vol. 10, Iss. 20, pp. 2455-2455
Open Access | Times Cited: 3
Dynamic Combination Evaluation Method of Rural Environmental Pollution Control Effect
Xinjie Li
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 2
Ensemble forecasting method
Vera Ivanyuk, А. Д. Цвиркун
Journal of Physics Conference Series (2020) Vol. 1703, Iss. 1, pp. 012037-012037
Open Access | Times Cited: 1
Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature
Pan Zeng, Md Fazla Elahe, Junlin Xu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
2019 Index IEEE Transactions on Smart Grid Vol. 10

IEEE Transactions on Smart Grid (2019) Vol. 10, Iss. 6, pp. 6977-7081
Open Access
Operation of an Energy Storage System Integrated with a Photovoltaic System and an Industrial Customer under Different Real and Pseudo-Real Profiles
Michał Jasiński, Arsalan Najafi, Tomasz Sikorski, et al.
Energies (2022) Vol. 15, Iss. 21, pp. 8308-8308
Open Access
A novel method for the short-term power load forecasting
Min Lu, Xinrong Wu, Yi Chen, et al.
(2022), pp. 1-5
Closed Access
Artificial Intelligence for Load Forecasting: A Stacking Learning Approach Based on Ensemble Diversity Regularization
Jiaqi Shi, Chenxi Li, Xiaohe Yan
SSRN Electronic Journal (2021)
Closed Access
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