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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:

Forecasting Electricity Consumption Using an Improved Grey Prediction Model
Kai Li, Tao Zhang
Information (2018) Vol. 9, Iss. 8, pp. 204-204
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

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 hybrid optimized grey seasonal variation index model improved by whale optimization algorithm for forecasting the residential electricity consumption
Xin Xiong, Xi Hu, Huan Guo
Energy (2021) Vol. 234, pp. 121127-121127
Closed Access | Times Cited: 56
Time Series Analysis of Electricity Consumption Forecasting Using ARIMA Model
Meftah Elsaraiti, Gama Ali, Hmeda Musbah, et al.
(2021), pp. 259-262
Closed Access | Times Cited: 42
Forecasting of Electrical Energy Consumption in Slovakia
Michal Pavličko, Mária Vojteková, Oľga Blažeková
Mathematics (2022) Vol. 10, Iss. 4, pp. 577-577
Open Access | Times Cited: 29
Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization
Weiwei Pan, Lirong Jian, Tao Liu
Scientometrics (2019) Vol. 121, Iss. 3, pp. 1407-1434
Closed Access | Times Cited: 52
Exploratory Weather Data Analysis for Electricity Load Forecasting Using SVM and GRNN, Case Study in Bali, Indonesia
Siti Aisyah, Arionmaro Asi Simaremare, Didit Adytia, et al.
Energies (2022) Vol. 15, Iss. 10, pp. 3566-3566
Open Access | Times Cited: 24
Predicting Oil Temperature in Electrical Transformers Using Neural Hierarchical Interpolation
Abdeltif Boujamza, Saâd Lissane Elhaq
Journal of Engineering (2025) Vol. 2025, Iss. 1
Open Access
Deep learning-based novel ensemble method with best score transferred-adaptive neuro fuzzy inference system for energy consumption prediction
Birce Dağkurs, İsmail Atacak
PeerJ Computer Science (2025) Vol. 11, pp. e2680-e2680
Open Access
Integrating Kolmogorov–Arnold Networks with Time Series Prediction Framework in Electricity Demand Forecasting
Yuyang Zhang, Lei Cui, Wenqiang Yan
Energies (2025) Vol. 18, Iss. 6, pp. 1365-1365
Open Access
Daily electrical energy consumption: Periodicity, harmonic regression method and forecasting
Yılmaz Akdi, Elif Gölveren, Yasin Okkaoğlu
Energy (2019) Vol. 191, pp. 116524-116524
Closed Access | Times Cited: 38
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
Analysis and Projection of Transport Sector Demand for Energy and Carbon Emission: An Application of the Grey Model in Pakistan
Shujaat Abbas, Hazrat Yousaf, Shabeer Khan, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1443-1443
Open Access | Times Cited: 12
Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC)
Abdullah Khan, Haruna Chiroma, Muhammad Imran, et al.
Computers & Electrical Engineering (2020) Vol. 86, pp. 106737-106737
Closed Access | Times Cited: 31
A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid
Raphael Anaadumba, Qi Liu, Bockarie Daniel Marah, et al.
Cybersecurity (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 26
How to Predict Energy Consumption in BRICS Countries?
Atif Maqbool Khan, Magdalena Osińska
Energies (2021) Vol. 14, Iss. 10, pp. 2749-2749
Open Access | Times Cited: 23
Artificial intelligence-based forecasting models for integrated energy system management planning: An exploration of the prospects for South Africa
Senthil Krishnamurthy, Oludamilare Bode Adewuyi, Emmanuel Luwaca, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100772-100772
Open Access | Times Cited: 3
Predicting Commercial Building Energy Consumption Using a Multivariate Multilayered Long-Short Term Memory Time-Series Model
Tan Ngoc Dinh, Gokul Sidarth Thirunavukkarasu, Mehdi Seyedmahmoudian, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7775-7775
Open Access | Times Cited: 8
Predicting Commercial Building Energy Consumption Using a Multivariate Multilayered Long-Short Term Memory Time-Series Model
Tan Ngoc Dinh, Gokul Sidarth Thirunavukkarasu, Mehdi Seyedmahmoudian, et al.
(2023)
Open Access | Times Cited: 7
Development of an ARIMAX model for forecasting airport electricity consumption in Accra-Ghana: The role of weather and air passenger traffic
Romeo Djimasbe, Samuel Gyamfi, Chu Donatus Iweh, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 9, pp. 100691-100691
Open Access | Times Cited: 2
Towards Assessing the Electricity Demand in Brazil: Data-Driven Analysis and Ensemble Learning Models
João Vitor Leme, Wallace Casaca, Marilaine Colnago, et al.
Energies (2020) Vol. 13, Iss. 6, pp. 1407-1407
Open Access | Times Cited: 19
Energy Consumption and Price Forecasting Through Data-Driven Analysis Methods: A Review
Harsh Patel, Manan Shah
SN Computer Science (2021) Vol. 2, Iss. 4
Closed Access | Times Cited: 16
Electricity demand and price forecasting model for sustainable smart grid using comprehensive long short term memory
Israt Fatema, Xiaoying Kong, Gengfa Fang
International Journal of Sustainable Engineering (2021) Vol. 14, Iss. 6, pp. 1714-1732
Open Access | Times Cited: 16
Forecasting Installation Capacity for the Top 10 Countries Utilizing Geothermal Energy by 2030
Khaled Salhein, Chris J. Kobus, Mohamed Zohdy
Thermo (2022) Vol. 2, Iss. 4, pp. 334-351
Open Access | Times Cited: 11
Forecast of Energy Consumption Based on FGM(1, 1) Model
Haijun Chen, Yanzeng Tong, Lifeng Wu
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 15
A Novel Fractional-Order Grey Prediction Model and Its Modeling Error Analysis
Wei Meng, Bo Zeng, Shuliang Li
Information (2019) Vol. 10, Iss. 5, pp. 167-167
Open Access | Times Cited: 17
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