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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.

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Showing 1-25 of 65 citing articles:

A novel grey forecasting of greenhouse gas emissions from four industries of China and India
Saad Ahmed Javed, Dan Cudjoe
Sustainable Production and Consumption (2021) Vol. 29, pp. 777-790
Closed Access | Times Cited: 72
Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm
Tian Gao, Dongxiao Niu, Zhengsen Ji, et al.
Energy (2022) Vol. 261, pp. 125328-125328
Closed Access | Times Cited: 43
Impact of COVID-19 on electricity energy consumption: A quantitative analysis on electricity
Zonghan Li, Hongkai Ye, Najia Liao, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 140, pp. 108084-108084
Closed Access | Times Cited: 40
A novel two-stage seasonal grey model for residential electricity consumption forecasting
Pei Du, Ju’e Guo, Shaolong Sun, et al.
Energy (2022) Vol. 258, pp. 124664-124664
Closed Access | Times Cited: 38
A novel data-driven seasonal multivariable grey model for seasonal time series forecasting
Xuemei Li, Na Li, Song Ding, et al.
Information Sciences (2023) Vol. 642, pp. 119165-119165
Closed Access | Times Cited: 29
A novel seasonal grey prediction model with time-lag and interactive effects for forecasting the photovoltaic power generation
Junjie Wang, Li Ye, Xiaoyu Ding, et al.
Energy (2024) Vol. 304, pp. 131939-131939
Closed Access | Times Cited: 8
Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel fractional nonlinear grey model
Utkucan Şahin
Expert Systems with Applications (2022) Vol. 209, pp. 118429-118429
Closed Access | Times Cited: 36
The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar
Ammar Abulibdeh, Esmat Zaidan, Rateb Jabbar
Energy Strategy Reviews (2022) Vol. 44, pp. 100980-100980
Open Access | Times Cited: 28
A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting
Zhesen Cui, Jinran Wu, Wei Lian, et al.
Energy Reports (2023) Vol. 9, pp. 1887-1895
Open Access | Times Cited: 18
Incorporating deep learning predictions to assess the water-energy-food nexus security
Alma Yunuen Raya-Tapia, Francisco Javier López-Flores, José María Ponce‐Ortega
Environmental Science & Policy (2023) Vol. 144, pp. 99-109
Closed Access | Times Cited: 17
Forecasting Electricity Demand in Turkey Using Optimization and Machine Learning Algorithms
Mustafa Saglam, Catalina Spataru, Ömer Ali Karaman
Energies (2023) Vol. 16, Iss. 11, pp. 4499-4499
Open Access | Times Cited: 15
Seasonal electricity consumption forecasting: an approach with novel weakening buffer operator and fractional order accumulation grey model
Chuanmin Mi, Xiaoyi Gou, Yating Ren, et al.
Grey Systems Theory and Application (2024) Vol. 14, Iss. 2, pp. 414-428
Closed Access | Times Cited: 5
Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources
Zhenghong Wang, Yi Wang, Furong Jia, et al.
Neural Networks (2025) Vol. 186, pp. 107268-107268
Closed Access
Electricity Demand Forecasting Using Deep Polynomial Neural Networks and Gene Expression Programming During COVID-19 Pandemic
Çagatay Cebeci, Kasım Zor
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2843-2843
Open Access
Application of a Fractional Generalized Discrete Grey Model to Forecast COVID‐19 in Japan Diamond Princess Cruises
Hang Zuo, Zuo Kai
Journal of Mathematics (2025) Vol. 2025, Iss. 1
Open Access
An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation
Jianzhou Wang, Qianyi Xing, Bo Zeng, et al.
Applied Energy (2022) Vol. 327, pp. 120042-120042
Closed Access | Times Cited: 26
A nonlinear interactive grey multivariable model based on dynamic compensation for forecasting the economy-energy-environment system
Ye Li, Yaoguo Dang, Liping Fang, et al.
Applied Energy (2022) Vol. 331, pp. 120189-120189
Closed Access | Times Cited: 26
Changes in hourly electricity consumption under COVID mandates: A glance to future hourly residential power consumption pattern with remote work in Arizona
Arthur Lin Ku, Yueming Qiu, Jiehong Lou, et al.
Applied Energy (2022) Vol. 310, pp. 118539-118539
Open Access | Times Cited: 25
Electricity Demand Forecasting with Use of Artificial Intelligence: The Case of Gokceada Island
Mustafa Saglam, Catalina Spataru, Ömer Ali Karaman
Energies (2022) Vol. 15, Iss. 16, pp. 5950-5950
Open Access | Times Cited: 25
An optimized nonlinear time-varying grey Bernoulli model and its application in forecasting the stock and sales of electric vehicles
Huimin Zhou, Yaoguo Dang, Yingjie Yang, et al.
Energy (2022) Vol. 263, pp. 125871-125871
Open Access | Times Cited: 25
Spam SMS Detection for Turkish Language with Deep Text Analysis and Deep Learning Methods
Onur Karasoy, Serkan Ballı
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 8, pp. 9361-9377
Closed Access | Times Cited: 29
Predicting the production and consumption of natural gas in China by using a new grey forecasting method
Tongfei Lao, Yanrui Sun
Mathematics and Computers in Simulation (2022) Vol. 202, pp. 295-315
Closed Access | Times Cited: 19
A novel Optimized initial condition and Seasonal division based Grey Seasonal Variation Index model for hydropower generation
Xin Xiong, Xi Hu, Tian Tian, et al.
Applied Energy (2022) Vol. 328, pp. 120180-120180
Closed Access | Times Cited: 19
Review on intelligent pipeline technologies: A life cycle perspective
Zhuochao Li, Yongtu Liang, Youyi Liang, et al.
Computers & Chemical Engineering (2023) Vol. 175, pp. 108283-108283
Closed Access | Times Cited: 11
An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University Residence
Stephen Oladipo, Yanxia Sun, Oluwatobi Adeleke
International Transactions on Electrical Energy Systems (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 10
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