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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:

Grey forecasting method of quarterly hydropower production in China based on a data grouping approach
Zheng‐Xin Wang, Qin Li, Ling-Ling Pei
Applied Mathematical Modelling (2017) Vol. 51, pp. 302-316
Open Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

The conformable fractional grey system model
Xin Ma, Wenqing Wu, Bo Zeng, et al.
ISA Transactions (2019) Vol. 96, pp. 255-271
Open Access | Times Cited: 255
Forecasting China's electricity consumption using a new grey prediction model
Song Ding, Keith W. Hipel, Yaoguo Dang
Energy (2018) Vol. 149, pp. 314-328
Closed Access | Times Cited: 247
Fractional Hausdorff grey model and its properties
Yan Chen, Lifeng Wu, Lianyi Liu, et al.
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109915-109915
Closed Access | Times Cited: 152
Forecasting seasonal demand for retail: A Fourier time-varying grey model
Lili Ye, Naiming Xie, John E. Boylan, et al.
International Journal of Forecasting (2024) Vol. 40, Iss. 4, pp. 1467-1485
Closed Access | Times Cited: 19
An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting
Jianzhou Wang, Pei Du, Haiyan Lu, et al.
Applied Soft Computing (2018) Vol. 72, pp. 321-337
Closed Access | Times Cited: 149
Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption
Wenqing Wu, Xin Ma, Bo Zeng, et al.
Energy (2018) Vol. 165, pp. 223-234
Open Access | Times Cited: 110
An improved seasonal GM(1,1) model based on the HP filter for forecasting wind power generation in China
Wuyong Qian, Jue Wang
Energy (2020) Vol. 209, pp. 118499-118499
Closed Access | Times Cited: 104
Forecasting the industrial solar energy consumption using a novel seasonal GM(1,1) model with dynamic seasonal adjustment factors
Zheng‐Xin Wang, Zhiwei Wang, Qin Li
Energy (2020) Vol. 200, pp. 117460-117460
Closed Access | Times Cited: 90
Model comparison of GM(1,1) and DGM(1,1) based on Monte-Carlo simulation
Zheng‐Xin Wang, Dandan Li, Honghao Zheng
Physica A Statistical Mechanics and its Applications (2019) Vol. 542, pp. 123341-123341
Closed Access | Times Cited: 78
A novel multivariable grey prediction model and its application in forecasting coal consumption
Huiming Duan, Xilin Luo
ISA Transactions (2021) Vol. 120, pp. 110-127
Closed Access | Times Cited: 76
Predictive analysis of the air quality indicators in the Yangtze River Delta in China: An application of a novel seasonal grey model
Weijie Zhou, Xiaoli Wu, Song Ding, et al.
The Science of The Total Environment (2020) Vol. 748, pp. 141428-141428
Closed Access | Times Cited: 75
Predicting monthly natural gas production in China using a novel grey seasonal model with particle swarm optimization
Nu Li, Jianliang Wang, Lifeng Wu, et al.
Energy (2020) Vol. 215, pp. 119118-119118
Open Access | Times Cited: 74
Predictions and mitigation strategies of PM2.5 concentration in the Yangtze River Delta of China based on a novel nonlinear seasonal grey model
Weijie Zhou, Xiaoli Wu, Song Ding, et al.
Environmental Pollution (2021) Vol. 276, pp. 116614-116614
Closed Access | Times Cited: 67
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
Utkucan Şahin, Serkan Ballı, Yan Chen
Applied Energy (2021) Vol. 302, pp. 117540-117540
Open Access | Times Cited: 65
A novel structure adaptive new information priority discrete grey prediction model and its application in renewable energy generation forecasting
Xinbo He, Yong Wang, Yuyang Zhang, et al.
Applied Energy (2022) Vol. 325, pp. 119854-119854
Closed Access | Times Cited: 62
Forecasting natural gas consumption of China by using a novel fractional grey model with time power term
Chong Liu, Wen-Ze Wu, Wanli Xie, et al.
Energy Reports (2021) Vol. 7, pp. 788-797
Open Access | Times Cited: 61
A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation
Wuyong Qian, Aodi Sui
Expert Systems with Applications (2021) Vol. 186, pp. 115761-115761
Closed Access | Times Cited: 59
A novel seasonal adaptive grey model with the data-restacking technique for monthly renewable energy consumption forecasting
Song Ding, Zui Tao, Ruojin Li, et al.
Expert Systems with Applications (2022) Vol. 208, pp. 118115-118115
Closed Access | Times Cited: 39
Probabilistic accumulation grey forecasting model and its properties
Kai Zhang, Kedong Yin, Wendong Yang
Expert Systems with Applications (2023) Vol. 223, pp. 119889-119889
Closed Access | Times Cited: 29
Forecasting China's hydropower generation using a novel seasonal optimized multivariate grey model
Youyang Ren, Lin Xia, Yuhong Wang
Technological Forecasting and Social Change (2023) Vol. 194, pp. 122677-122677
Closed Access | Times Cited: 22
A novel structure adaptive grey seasonal model with data reorganization and its application in solar photovoltaic power generation prediction
Yong Wang, Xinbo He, Ying Zhou, et al.
Energy (2024) Vol. 302, pp. 131833-131833
Closed Access | Times Cited: 8
A novel discrete grey seasonal model and its applications
Weijie Zhou, Song Ding
Communications in Nonlinear Science and Numerical Simulation (2020) Vol. 93, pp. 105493-105493
Open Access | Times Cited: 60
Multivariable grey prediction evolution algorithm: A new metaheuristic
Xinlin Xu, Zhongbo Hu, Qinghua Su, et al.
Applied Soft Computing (2020) Vol. 89, pp. 106086-106086
Closed Access | Times Cited: 54
Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach
Hai-Bao Chen, Ling-Ling Pei, Yufeng Zhao
Energy (2021) Vol. 222, pp. 119952-119952
Open Access | Times Cited: 51
A novel grey prediction model for seasonal time series
Weijie Zhou, Rongrong Jiang, Song Ding, et al.
Knowledge-Based Systems (2021) Vol. 229, pp. 107363-107363
Closed Access | Times Cited: 46
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