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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 Load Forecasting Based on Frequency Domain Decomposition and Deep Learning
Qian Zhang, Yuan Ma, Guoli Li, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 12

Showing 12 citing articles:

HSIC Bottleneck Based Distributed Deep Learning Model for Load Forecasting in Smart Grid With a Comprehensive Survey
Md. Akhtaruzzaman, Mohammad Kamrul Hasan, S. Rayhan Kabir, et al.
IEEE Access (2020) Vol. 8, pp. 222977-223008
Open Access | Times Cited: 74
Short-term load forecasting method with variational mode decomposition and stacking model fusion
Qian Zhang, Junjie Wu, Yuan Ma, et al.
Sustainable Energy Grids and Networks (2022) Vol. 30, pp. 100622-100622
Closed Access | Times Cited: 34
Short-Term Load Forecasting Using Neural Network and Particle Swarm Optimization (PSO) Algorithm
Zahra Shafiei Chafi, Hossein Afrakhte
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 40
Informer Short-Term PV Power Prediction Based on Sparrow Search Algorithm Optimised Variational Mode Decomposition
Wu Xu, Dongyang Li, Wenjing Dai, et al.
Energies (2024) Vol. 17, Iss. 12, pp. 2984-2984
Open Access | Times Cited: 4
Online Hour-Ahead Load Forecasting Using Appropriate Time-Delay Neural Network Based on Multiple Correlation–Multicollinearity Analysis in IoT Energy Network
Muhammad Ahsan Zamee, Dongjun Han, Dong-Jun Won
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 14, pp. 12041-12055
Closed Access | Times Cited: 31
ILBPS: An Integrated Optimization Approach Based on Adaptive Load-Balancing and Heuristic Path Selection in SDN
Z. Ye, Gang Sun, Mohsen Guizani
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 4, pp. 6144-6157
Closed Access | Times Cited: 7
Short-Term Load Monitoring of a Power System Based on Neural Network
Di Yang
International Transactions on Electrical Energy Systems (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 5
A Similar Day Based Short Term Load Forecasting Method Using Wavelet Transform and LSTM
Ruixuan Zhang, Chuyan Zhang, Miao Yu
IEEJ Transactions on Electrical and Electronic Engineering (2021) Vol. 17, Iss. 4, pp. 506-513
Closed Access | Times Cited: 11
Day Ahead Load Forecasting using Random Forest method with meteorological variables
Jayati Vaish, Khadim Moin Siddiqui, Zeel Maheshwari, et al.
(2023), pp. 239-244
Closed Access | Times Cited: 4
A novel decomposition-based ensemble broad learning system for short-term load forecasting
Yihan Tian
Advances in Engineering Technology Research (2024) Vol. 9, Iss. 1, pp. 744-744
Open Access
Micro-Genetic Algorithm Embedded Multi-Population Differential Evolution based Neural Network for Short-Term Load Forecasting
Colin Paul Joy, Gobind Pillai, Yingke Chen, et al.
2022 57th International Universities Power Engineering Conference (UPEC) (2021), pp. 1-4
Open Access | Times Cited: 1
AFDD-LSTSNET-SARIMA Based Short-Term Net Load Forecasting for Customers
Jingdong Wang, Jianchen Zhou, Cheng Zhu, et al.
Research Square (Research Square) (2023)
Open Access
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