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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:

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

Showing 1-25 of 247 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
A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China
Xin Ma, Mei Xie, Wenqing Wu, et al.
Energy (2019) Vol. 178, pp. 487-507
Closed Access | Times Cited: 247
Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model
Wenqing Wu, Xin Ma, Bo Zeng, et al.
Renewable Energy (2019) Vol. 140, pp. 70-87
Closed Access | Times Cited: 245
A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors
Zheng‐Xin Wang, Qin Li, Ling-Ling Pei
Energy (2018) Vol. 154, pp. 522-534
Closed Access | Times Cited: 243
Intelligent techniques for forecasting electricity consumption of buildings
Khuram Pervez Amber, Rizwan Ahmad, Muhammad Waqar Aslam, et al.
Energy (2018) Vol. 157, pp. 886-893
Closed Access | Times Cited: 185
Load demand forecasting of residential buildings using a deep learning model
Lulu Wen, Kaile Zhou, Shanlin Yang
Electric Power Systems Research (2019) Vol. 179, pp. 106073-106073
Closed Access | Times Cited: 174
Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process
Yusha Hu, Jigeng Li, Mengna Hong, et al.
Energy (2019) Vol. 170, pp. 1215-1227
Open Access | Times Cited: 171
A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting
Song Ding, Ruojin Li, Zui Tao
Energy Conversion and Management (2020) Vol. 227, pp. 113644-113644
Closed Access | Times Cited: 152
A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction
Mehdi Zolfaghari, Samad Gholami
Expert Systems with Applications (2021) Vol. 182, pp. 115149-115149
Closed Access | Times Cited: 105
An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms
Xuetao Li, Ziwei Wang, Chengying Yang, et al.
Energy (2024) Vol. 296, pp. 131259-131259
Closed Access | Times Cited: 40
Prediction of carbon emissions in China's construction industry using an improved grey prediction model
Jia‐Bao Liu, Xi-Yu Yuan, Chien‐Chiang Lee
The Science of The Total Environment (2024) Vol. 938, pp. 173351-173351
Closed Access | Times Cited: 20
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 Weighted K-Nearest Neighbor Algorithm for Short-Term Load Forecasting
Guo‐Feng Fan, Yanhui Guo, Jia‐Mei Zheng, et al.
Energies (2019) Vol. 12, Iss. 5, pp. 916-916
Open Access | Times Cited: 133
Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model
Song Ding, Ning Xu, Jing Ye, et al.
Journal of Cleaner Production (2020) Vol. 259, pp. 120793-120793
Closed Access | Times Cited: 131
A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries
Song Ding
Computers & Industrial Engineering (2018) Vol. 127, pp. 749-760
Closed Access | Times Cited: 125
A new-structure grey Verhulst model: Development and performance comparison
Bo Zeng, Mingyu Tong, Xin Ma
Applied Mathematical Modelling (2020) Vol. 81, pp. 522-537
Open Access | Times Cited: 118
Modeling carbon emission trajectory of China, US and India
Qiang Wang, Shuyu Li, Zhanna Pisarenko
Journal of Cleaner Production (2020) Vol. 258, pp. 120723-120723
Closed Access | Times Cited: 115
Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm
Lin Wang, Huanling Hu, Xue-Yi Ai, et al.
Energy (2018) Vol. 153, pp. 801-815
Closed Access | Times Cited: 111
A hybrid model based on selective ensemble for energy consumption forecasting in China
Jin Xiao, Yuxi Li, Ling Xie, et al.
Energy (2018) Vol. 159, pp. 534-546
Closed Access | Times Cited: 108
Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model
Song Ding, Ruojin Li
Engineering Applications of Artificial Intelligence (2021) Vol. 100, pp. 104148-104148
Closed Access | Times Cited: 92
Using a self-adaptive grey fractional weighted model to forecast Jiangsu’s electricity consumption in China
Xiaoyue Zhu, Yaoguo Dang, Song Ding
Energy (2019) Vol. 190, pp. 116417-116417
Closed Access | Times Cited: 90
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
A novel self-adapting intelligent grey model for forecasting China's natural-gas demand
Song Ding
Energy (2018) Vol. 162, pp. 393-407
Closed Access | Times Cited: 89
Long-term electricity consumption forecasting based on expert prediction and fuzzy Bayesian theory
T. T. Lei, Xifan Wang, Xiuli Wang, et al.
Energy (2018) Vol. 167, pp. 1144-1154
Closed Access | Times Cited: 87
Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting
Song Ding, Ruojin Li, Shu Wu, et al.
Applied Energy (2021) Vol. 298, pp. 117114-117114
Closed Access | Times Cited: 86
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