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:

An optimized grey model for annual power load forecasting
Huiru Zhao, Sen Guo
Energy (2016) Vol. 107, pp. 272-286
Closed Access | Times Cited: 201

Showing 1-25 of 201 citing articles:

Short term load forecasting based on feature extraction and improved general regression neural network model
Yi Liang, Dongxiao Niu, Wei‐Chiang Hong
Energy (2018) Vol. 166, pp. 653-663
Closed Access | Times Cited: 256

Ant Lion Optimization Algorithm for Renewable Distributed Generations
E. S. Ali, S. M. Abd Elazim, Almoataz Y. Abdelaziz
Energy (2016) Vol. 116, pp. 445-458
Closed Access | Times Cited: 248

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

Methods and Models for Electric Load Forecasting: A Comprehensive Review
M. Hammad, Borut Jereb, Bojan Rosi, et al.
Logistics Supply Chain Sustainability and Global Challenges (2020) Vol. 11, Iss. 1, pp. 51-76
Open Access | Times Cited: 178

Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques
Qiang Wang, Shuyu Li, Rongrong Li
Energy (2018) Vol. 161, pp. 821-831
Closed Access | Times Cited: 173

Forecasting number of ISO 14001 certifications of selected countries: application of even GM (1,1), DGM, and NDGM models
Muhammad Ikram, Amin Mahmoudi, Syed Zulfiqar Ali Shah, et al.
Environmental Science and Pollution Research (2019) Vol. 26, Iss. 12, pp. 12505-12521
Closed Access | Times Cited: 165

Short-term electrical load forecasting using hybrid model of manta ray foraging optimization and support vector regression
Siwei Li, Xiangyu Kong, Yue Liang, et al.
Journal of Cleaner Production (2023) Vol. 388, pp. 135856-135856
Closed Access | Times Cited: 43

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

Smart home energy management systems: Research challenges and survey
Ali Raza, LI Jing-zhao, Yazeed Yasin Ghadi, et al.
Alexandria Engineering Journal (2024) Vol. 92, pp. 117-170
Open Access | Times Cited: 27

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

Long-term electric energy consumption forecasting via artificial cooperative search algorithm
S. Hr. Aghay Kaboli, Jeyraj Selvaraj, Nasrudin Abd Rahim
Energy (2016) Vol. 115, pp. 857-871
Closed Access | Times Cited: 144

Short‐term power load forecasting based on multi‐layer bidirectional recurrent neural network
Xianlun Tang, Yuyan Dai, Ting Wang, et al.
IET Generation Transmission & Distribution (2019) Vol. 13, Iss. 17, pp. 3847-3854
Closed Access | Times Cited: 138

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

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

CO 2 emissions in China's building sector through 2050: A scenario analysis based on a bottom-up model
Tao Yang, Yiqun Pan, Yikun Yang, et al.
Energy (2017) Vol. 128, pp. 208-223
Closed Access | Times Cited: 124

Forecasting CO2 emissions of China's cement industry using a hybrid Verhulst-GM(1,N) model and emissions' technical conversion
Jeffrey Ofosu-Adarkwa, Naiming Xie, Saad Ahmed Javed
Renewable and Sustainable Energy Reviews (2020) Vol. 130, pp. 109945-109945
Closed Access | Times Cited: 124

Long-term electricity load forecasting: Current and future trends
Karen Byskov Lindberg, Pernille Seljom, Henrik Madsen, et al.
Utilities Policy (2019) Vol. 58, pp. 102-119
Closed Access | Times Cited: 120

Forecasting U.S. shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model
Qiang Wang, Shuyu Li, Rongrong Li, et al.
Energy (2018) Vol. 160, pp. 378-387
Closed Access | Times Cited: 119

Estimation of electronic waste using optimized multivariate grey models
Gazi Murat Duman, Elif Kongar, Surendra M. Gupta
Waste Management (2019) Vol. 95, pp. 241-249
Closed Access | Times Cited: 113

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

The kernel-based nonlinear multivariate grey model
Xin Ma, Zhibin Liu
Applied Mathematical Modelling (2017) Vol. 56, pp. 217-238
Open Access | Times Cited: 105

A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production
Qiang Wang, Xiaoxing Song, Rongrong Li
Energy (2018) Vol. 165, pp. 1320-1331
Closed Access | Times Cited: 100

A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score
Eliana Vivas, Héctor Allende‐Cid, Rodrigo Salas
Entropy (2020) Vol. 22, Iss. 12, pp. 1412-1412
Open Access | Times Cited: 97

Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting
Fei Wu, Carlo Cattani, Wanqing Song, et al.
Alexandria Engineering Journal (2020) Vol. 59, Iss. 5, pp. 3111-3118
Open Access | Times Cited: 94

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