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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 1-25 of 43 citing articles:

Machine learning driven smart electric power systems: Current trends and new perspectives
Muhammad Sohail Ibrahim, Wei Dong, Qiang Yang
Applied Energy (2020) Vol. 272, pp. 115237-115237
Closed Access | Times Cited: 300
Artificial intelligence for load forecasting: A stacking learning approach based on ensemble diversity regularization
Jiaqi Shi, Chenxi Li, Xiaohe Yan
Energy (2022) Vol. 262, pp. 125295-125295
Closed Access | Times Cited: 59
A Hybrid Short-Term Load Forecasting Approach for Individual Residential Customer
Xin Lin, Ramon Zamora, Craig Baguley, et al.
IEEE Transactions on Power Delivery (2022) Vol. 38, Iss. 1, pp. 26-37
Closed Access | Times Cited: 30
Decomposition strategy and attention-based long short-term memory network for multi-step ultra-short-term agricultural power load forecasting
Feifei Yang, Xueqian Fu, Qiang Yang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122226-122226
Closed Access | Times Cited: 16
Long term electric load forecasting based on TS-type recurrent fuzzy neural network model
Ziteng Wen, Linbo Xie, Qigao Fan, et al.
Electric Power Systems Research (2019) Vol. 179, pp. 106106-106106
Closed Access | Times Cited: 48
Short term electric load forecasting using hybrid algorithm for smart cities
Ehab E. Elattar, Nehmdoh A. Sabiha, Mohammad Alsharef, et al.
Applied Intelligence (2020) Vol. 50, Iss. 10, pp. 3379-3399
Closed Access | Times Cited: 39
Designing a Robust and Accurate Model for Consumer-Centric Short-Term Load Forecasting in Microgrid Environment
Ajit Muzumdar, Chirag Modi, G. M. Madhu, et al.
IEEE Systems Journal (2021) Vol. 16, Iss. 2, pp. 2448-2459
Closed Access | Times Cited: 35
An innovative method-based CEEMDAN–IGWO–GRU hybrid algorithm for short-term load forecasting
Zixing Chen, Tao Jin, Xidong Zheng, et al.
Electrical Engineering (2022) Vol. 104, Iss. 5, pp. 3137-3156
Closed Access | Times Cited: 27
A Novel Closed-Loop Clustering Algorithm for Hierarchical Load Forecasting
Chi Zhang, Ran Li
IEEE Transactions on Smart Grid (2020) Vol. 12, Iss. 1, pp. 432-441
Open Access | Times Cited: 34
Multi-objective LSTM ensemble model for household short-term load forecasting
Chaodong Fan, Yunfan Li, Lingzhi Yi, et al.
Memetic Computing (2022) Vol. 14, Iss. 1, pp. 115-132
Closed Access | Times Cited: 19
Adaptive forecasting of wind power based on selective ensemble of offline global and online local learning
Huaiping Jin, Yu Li, Bin Wang, et al.
Energy Conversion and Management (2022) Vol. 271, pp. 116296-116296
Closed Access | Times Cited: 19
A learning framework based on weighted knowledge transfer for holiday load forecasting
Pan Zeng, Sheng Chang, Min Jin
Journal of Modern Power Systems and Clean Energy (2018) Vol. 7, Iss. 2, pp. 329-339
Open Access | Times Cited: 34
Two-Stage Bootstrap Sampling for Probabilistic Load Forecasting
Jiawei Zhang, Yi Wang, Mingyang Sun, et al.
IEEE Transactions on Engineering Management (2020) Vol. 69, Iss. 3, pp. 720-728
Closed Access | Times Cited: 24
A hybrid robust system considering outliers for electric load series forecasting
Yang Yang, Zhenghang Tao, Qian Chen, et al.
Applied Intelligence (2021) Vol. 52, Iss. 2, pp. 1630-1652
Open Access | Times Cited: 22
A load forecasting model based on support vector regression with whale optimization algorithm
Yuting Lu, Gaocai Wang
Multimedia Tools and Applications (2022) Vol. 82, Iss. 7, pp. 9939-9959
Closed Access | Times Cited: 14
Short-Term Power Load Forecasting Based on Cross Multi-Model and Second Decision Mechanism
Pan Zeng, Min Jin, Md Fazla Elahe
IEEE Access (2020) Vol. 8, pp. 184061-184072
Open Access | Times Cited: 23
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
Analysis and evaluation of two short-term load forecasting techniques
Saroj Kumar Panda, Papia Ray
International Journal of Emerging Electric Power Systems (2021) Vol. 23, Iss. 2, pp. 183-196
Closed Access | Times Cited: 13
Dynamic Similar Sub-Series Selection Method for Time Series Forecasting
Peiqiang Li, Jiang Zhang, Canbing Li, et al.
IEEE Access (2018) Vol. 6, pp. 32532-32542
Open Access | Times Cited: 14
Knowledge-Based Systematic Feature Extraction for Identifying Households With Plug-in Electric Vehicles
Md Fazla Elahe, Min Jin, Pan Zeng
IEEE Transactions on Smart Grid (2022) Vol. 13, Iss. 3, pp. 2259-2268
Closed Access | Times Cited: 7
Deep belief ensemble network based on MOEA/D for short-term load forecasting
Chaodong Fan, Changkun Ding, Leyi Xiao, et al.
Nonlinear Dynamics (2021) Vol. 105, Iss. 3, pp. 2405-2430
Closed Access | Times Cited: 9
Research on Short-Term Load Forecasting of Distribution Stations Based on the Clustering Improvement Fuzzy Time Series Algorithm
Jipeng Gu, Weijie Zhang, Youbing Zhang, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 136, Iss. 3, pp. 2221-2236
Open Access | Times Cited: 3
Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks
Sibonelo Motepe, Ali N. Hasan, Bhekisipho Twala, et al.
Journal of Intelligent & Fuzzy Systems (2019) Vol. 37, Iss. 6, pp. 8219-8235
Closed Access | Times Cited: 8
On the Pivotal Role of Artificial Intelligence Toward the Evolution of Smart Grids
Mohamed Massaoudi, Shady S. Refaat, Haitham Abu‐Rub
(2021), pp. 359-420
Closed Access | Times Cited: 7
ReNFuzz-LF: A Recurrent Neurofuzzy System for Short-Term Load Forecasting
George Kandilogiannakis, Paris Mastorocostas, Athanasios Voulodimos
Energies (2022) Vol. 15, Iss. 10, pp. 3637-3637
Open Access | Times Cited: 5
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