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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: 202

Showing 76-100 of 202 citing articles:

A coupled framework for power load forecasting with Gaussian implicit spatio temporal block and attention mechanisms network
Dezhi Liu, Xuan Lin, Hanyang Liu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110263-110263
Closed Access
Short-term power output forecasting of hourly operation in power plant based on climate factors and effects of wind direction and wind speed
Mojtaba Dadkhah, Mustafa Jahangoshai Rezaee, Ahmad Zare Chavoshi
Energy (2018) Vol. 148, pp. 775-788
Closed Access | Times Cited: 38
Energy demand forecasting using a novel remnant GM(1,1) model
Yi‐Chung Hu
Soft Computing (2020) Vol. 24, Iss. 18, pp. 13903-13912
Closed Access | Times Cited: 37
A study on short-term power load probability density forecasting considering wind power effects
Yaoyao He, Qin Yang, Xiaohui Lei, et al.
International Journal of Electrical Power & Energy Systems (2019) Vol. 113, pp. 502-514
Closed Access | Times Cited: 36
The new hybrid approaches to forecasting short-term electricity load
Guo‐Feng Fan, Yanrong Liu, Wei Hui-zhen, et al.
Electric Power Systems Research (2022) Vol. 213, pp. 108759-108759
Closed Access | Times Cited: 19
Energy Demand Forecasting and Optimizing Electric Systems for Developing Countries
Saadman S. Arnob, Abu Isha Md. Sadot Arefin, Ahmed Yousuf Saber, et al.
IEEE Access (2023) Vol. 11, pp. 39751-39775
Open Access | Times Cited: 12
A prediction method for urban heat supply based on grey system theory
Shuwei Wang, Peng Wang, Yifei Zhang
Sustainable Cities and Society (2019) Vol. 52, pp. 101819-101819
Closed Access | Times Cited: 33
Prediction of the Energy Consumption Variation Trend in South Africa based on ARIMA, NGM and NGM-ARIMA Models
Minglu Ma, Zhuangzhuang Wang
Energies (2019) Vol. 13, Iss. 1, pp. 10-10
Open Access | Times Cited: 31
Prediction of WEEE Recycling in China Based on an Improved Grey Prediction Model
Qiang Xiao, Hongshuang Wang
Sustainability (2022) Vol. 14, Iss. 11, pp. 6789-6789
Open Access | Times Cited: 16
Predicting the capital intensity of the new energy industry in China using a new hybrid grey model
Honghao Zheng, Qin Li, Zheng‐Xin Wang
Computers & Industrial Engineering (2018) Vol. 126, pp. 507-515
Closed Access | Times Cited: 29
The grey generalized Verhulst model and its application for forecasting Chinese pig price index
Weijie Zhou, Ling-Ling Pei
Soft Computing (2019) Vol. 24, Iss. 7, pp. 4977-4990
Closed Access | Times Cited: 29
Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance
Yagang Zhang, P. Wang, Penglai Cheng, et al.
Advances in Electrical and Computer Engineering (2017) Vol. 17, Iss. 3, pp. 107-114
Open Access | Times Cited: 28
A novel grey forecasting model and its application in forecasting the energy consumption in Shanghai
Kai Li, Tao Zhang
Energy Systems (2019) Vol. 12, Iss. 2, pp. 357-372
Closed Access | Times Cited: 28
Hybrid intelligent strategy for multifactor influenced electrical energy consumption forecasting
Azim Heydari, Davide Astiaso Garcia, Farshid Keynia, et al.
Energy Sources Part B Economics Planning and Policy (2019) Vol. 14, Iss. 10-12, pp. 341-358
Closed Access | Times Cited: 28
Forecasting Nitrous Oxide emissions based on grey system models
Huaping Sun, Jingjing Jiang, Muhammad Mohsin, et al.
Environmental Geochemistry and Health (2019) Vol. 42, Iss. 3, pp. 915-931
Closed Access | Times Cited: 27
A novel hyperbolic time-delayed grey model with Grasshopper Optimization Algorithm and its applications
Xiwang Xiang, Xin Ma, Yizhu Fang, et al.
Ain Shams Engineering Journal (2020) Vol. 12, Iss. 1, pp. 865-874
Open Access | Times Cited: 26
A multi-stage ensemble model for power load forecasting based on decomposition, error factors, and multi-objective optimization algorithm
Chaodong Fan, Shanghao Nie, Leyi Xiao, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109620-109620
Open Access | Times Cited: 8
An Integrated Model of Deep Learning and Heuristic Algorithm for Load Forecasting in Smart Grid
Hisham Alghamdi, Ghulam Hafeez, Sajjad Ali, et al.
Mathematics (2023) Vol. 11, Iss. 21, pp. 4561-4561
Open Access | Times Cited: 8
Forecasting China’s Coal Power Installed Capacity: A Comparison of MGM, ARIMA, GM-ARIMA, and NMGM Models
Shuyu Li, Xue Yang, Rongrong Li
Sustainability (2018) Vol. 10, Iss. 2, pp. 506-506
Open Access | Times Cited: 27
Grey prediction with residual modification using functional-link net and its application to energy demand forecasting
Yi‐Chung Hu
Kybernetes (2017) Vol. 46, Iss. 2, pp. 349-363
Closed Access | Times Cited: 25
Research and Application of a Hybrid Forecasting Model Based on Data Decomposition for Electrical Load Forecasting
Yuqi Dong, Xuejiao Ma, Chenchen Ma, et al.
Energies (2016) Vol. 9, Iss. 12, pp. 1050-1050
Open Access | Times Cited: 23
Enhanced Grey Risk Assessment Model for Support of Cloud Service Provider
Abdul Razaque, Fathi Amsaad, Salim Hariri, et al.
IEEE Access (2020) Vol. 8, pp. 80812-80826
Open Access | Times Cited: 21
Saturated load forecasting based on clustering and logistic iterative regression
Renhai Feng, Yuanbiao Xue, Wei Wang, et al.
Electric Power Systems Research (2021) Vol. 202, pp. 107604-107604
Closed Access | Times Cited: 19
Review of load data analytics using deep learning in smart grids: Open load datasets, methodologies, and application challenges
Md Fazla Elahe, Min Jin, Pan Zeng
International Journal of Energy Research (2021) Vol. 45, Iss. 10, pp. 14274-14305
Open Access | Times Cited: 18
Forecasting petroleum products consumption in Cameroon's household sector using a sequential GMC(1,n) model optimized by genetic algorithms
Flavian Emmanuel Sapnken, Khazali Acyl Ahmat, Michel Boukar, et al.
Heliyon (2022) Vol. 8, Iss. 12, pp. e12138-e12138
Open Access | Times Cited: 12

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