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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:

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

Showing 1-25 of 48 citing articles:

Artificial intelligence applications for microgrids integration and management of hybrid renewable energy sources
M. Talaat, M.H. Elkholy, Adel Alblawi, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10557-10611
Open Access | Times Cited: 64
Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review
Faiaz Ahsan, Nazia Hasan Dana, Subrata K. Sarker, et al.
Protection and Control of Modern Power Systems (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 57
CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 29
A holistic review on energy forecasting using big data and deep learning models
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, GM Shafiullah, et al.
International Journal of Energy Research (2021) Vol. 45, Iss. 9, pp. 13489-13530
Open Access | Times Cited: 80
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
Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm
Jinghua Li, Yongsheng Lei, Shuhui Yang
Energy Reports (2022) Vol. 8, pp. 491-497
Open Access | Times Cited: 67
A Review on Deep Sequential Models for Forecasting Time Series Data
Dozdar Mahdi Ahmed, Masoud Muhammed Hassan, Ramadhan J. Mstafa
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 49
Optimizing FDM 3D printing parameters for improved tensile strength using the Takagi–Sugeno fuzzy neural network
Hanjun Wei, Lu Tang, Haolin Qin, et al.
Materials Today Communications (2024) Vol. 38, pp. 108268-108268
Closed Access | Times Cited: 12
A hybrid long-term industrial electrical load forecasting model using optimized ANFIS with gene expression programming
Mutiu Shola Bakare, Abubakar Abdulkarim, Aliyu Nuhu Shuaibu, et al.
Energy Reports (2024) Vol. 11, pp. 5831-5844
Open Access | Times Cited: 8
A Novel Learning Model of Driver Fatigue Features Representation for Steering Wheel Angle
Zuojin Li, Liukui Chen, Ling Nie, et al.
IEEE Transactions on Vehicular Technology (2021) Vol. 71, Iss. 1, pp. 269-281
Closed Access | Times Cited: 54
Planning of electrical energy for the Galapagos Islands using different renewable energy technologies
Paúl Arévalo, Andrea A. Eras-Almeida, Antonio Caño, et al.
Electric Power Systems Research (2021) Vol. 203, pp. 107660-107660
Closed Access | Times Cited: 46
An effective dimensionality reduction approach for short-term load forecasting
Yang Yang, Zijin Wang, Yuchao Gao, et al.
Electric Power Systems Research (2022) Vol. 210, pp. 108150-108150
Closed Access | Times Cited: 36
Short-term electricity demand forecasting via variational autoencoders and batch training-based bidirectional long short-term memory
Arash Moradzadeh, Hamed Moayyed, Kazem Zare, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102209-102209
Closed Access | Times Cited: 31
Optimized Seq2Seq model based on multiple methods for short-term power load forecasting
Yeming Dai, Xinyu Yang, Mingming Leng
Applied Soft Computing (2023) Vol. 142, pp. 110335-110335
Closed Access | Times Cited: 20
Optimized Deep Stacked Long Short-Term Memory Network for Long-Term Load Forecasting
Tamer Ahmed Farrag, Ehab E. Elattar
IEEE Access (2021) Vol. 9, pp. 68511-68522
Open Access | Times Cited: 40
A data-driven knowledge-based system with reasoning under uncertain evidence for regional long-term hourly load forecasting
M. Rostam Niakan Kalhori, Iman Taheri, Faramarz Fallahi, et al.
Applied Energy (2022) Vol. 314, pp. 118975-118975
Closed Access | Times Cited: 22
Saturated load forecasting based on improved logistic regression and affinity propagation
Renhai Feng, Jiang Wang, Wei Wu, et al.
Electric Power Systems Research (2024) Vol. 237, pp. 110953-110953
Closed Access | Times Cited: 4
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
Stability Analysis of T-S Fuzzy Partially Coupled Complex Networks with Pinning Impulsive Controllers by Step Function Method
Shiju Yang, Tingting Huang, Dongmei Ruan, et al.
Fuzzy Sets and Systems (2025), pp. 109318-109318
Closed Access
Generalized predictive control using improved recurrent fuzzy neural network for a boiler-turbine unit
Min Zhao, Jin W, Chen Peng
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106053-106053
Closed Access | Times Cited: 11
Supply Sequence Modelling Using Hidden Markov Models
Anna Borucka, Edward Kozłowski, Rafał Parczewski, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 231-231
Open Access | Times Cited: 16
A self-organizing recurrent fuzzy neural network based on multivariate time series analysis
Haixu Ding, Wenjing Li, Junfei Qiao
Neural Computing and Applications (2020) Vol. 33, Iss. 10, pp. 5089-5109
Closed Access | Times Cited: 21
A comparison of sizing methods for a long-term renewable hybrid system. Case study: Galapagos Islands 2031
Antonio Caño, Paúl Arévalo, Francisco Jurado
Sustainable Energy & Fuels (2021) Vol. 5, Iss. 5, pp. 1548-1566
Closed Access | Times Cited: 15
Electric load demand forecasting on Greek Energy Market using lightweight neural networks
Nikitas Maragkos, Maria Tzelepi, Nikolaos Passalis, et al.
(2022) Vol. 11, pp. 1-5
Closed Access | Times Cited: 8
Introduction and Literature Review of the Application of Machine Learning/Deep Learning to Load Forecasting in Power System
Arash Moradzadeh, Amin Mansour‐Saatloo, Morteza Nazari‐Heris, et al.
Power systems (2021), pp. 119-135
Closed Access | Times Cited: 9
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