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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 Daily Electricity Consumption in Thailand Using Regression, Artificial Neural Network, Support Vector Machine, and Hybrid Models
Warut Pannakkong, Thanyaporn Harncharnchai, Jirachai Buddhakulsomsiri
Energies (2022) Vol. 15, Iss. 9, pp. 3105-3105
Open Access | Times Cited: 21

Showing 21 citing articles:

Methods of Forecasting Electric Energy Consumption: A Literature Review
Roman V. Klyuev, Ирбек Джабраилович Моргоев, Angelika Morgoeva, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 8919-8919
Open Access | Times Cited: 63
Smart Electricity Meter Load Prediction in Dubai Using MLR, ANN, RF, and ARIMA
Heba Allah Sayed, Ashraf William, Adel Mounir Said
Electronics (2023) Vol. 12, Iss. 2, pp. 389-389
Open Access | Times Cited: 17
Time series forecasting via integrating a filtering method: an application to electricity consumption
Felipe Leite Coelho da Silva, Josiane da Silva Cordeiro, Kleyton da Costa, et al.
Computational Statistics (2025)
Closed Access
The Electricity Load Prediction Model for Residential Buildings: A Critical Review of Output Types, Prediction Methods and Driving Factors
Zhenjing Wu, Min Qi, Weiling Zhang, et al.
Buildings (2025) Vol. 15, Iss. 6, pp. 925-925
Open Access
Artificial Intelligence Optimization for User Prediction and Efficient Energy Distribution in Electric Vehicle Smart Charging Systems
Siow Jat Shern, Md. Tanjil Sarker, Mohammed Hussein Saleh Mohammed Haram, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5772-5772
Open Access | Times Cited: 3
Energy Use Forecasting with the Use of a Nested Structure Based on Fuzzy Cognitive Maps and Artificial Neural Networks
Katarzyna Poczęta, Elpiniki I. Papageorgiou
Energies (2022) Vol. 15, Iss. 20, pp. 7542-7542
Open Access | Times Cited: 15
A Hybrid Model of VMD-EMD-FFT, Similar Days Selection Method, Stepwise Regression, and Artificial Neural Network for Daily Electricity Peak Load Forecasting
Lalitpat Aswanuwath, Warut Pannakkong, Jirachai Buddhakulsomsiri, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1860-1860
Open Access | Times Cited: 8
A hybrid forecasting model with logistic regression and neural networks for improving key performance indicators in supply chains
Rostyslav Pietukhov, Mujthaba Ahtamad, Mona Faraji Niri, et al.
Supply Chain Analytics (2023) Vol. 4, pp. 100041-100041
Open Access | Times Cited: 7
Short-term power load forecasting based on sparrow search algorithm-variational mode decomposition and attention-long short-term memory
Qingling DUAN, Xiangzhen He, Zhu Chao, et al.
International Journal of Low-Carbon Technologies (2024) Vol. 19, pp. 1089-1097
Open Access | Times Cited: 2
New Load Forecasting Ensemble Model based on LightGBM for Gas Industry Enterprises
Alina I. Stepanova, Павел Матренин
(2024), pp. 71-75
Closed Access | Times Cited: 1
Groundwater Contamination Site Identification Based on Machine Learning: A Case Study of Gas Stations in China
Yanpeng Huang, Longzhen Ding, Weijiang Liu, et al.
Water (2023) Vol. 15, Iss. 7, pp. 1326-1326
Open Access | Times Cited: 4
Application of random forest based on semi-automatic parameter adjustment for optimization of anti-breast cancer drugs
Jiajia Liu, Zhihui Zhou, Shanshan Kong, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 6
Fostering Energy Resilience in the Rural Thai Power System—A Case Study in Nakhon Phanom
Maria C. G. Hart, Michael H. Breitner
Energies (2022) Vol. 15, Iss. 19, pp. 7374-7374
Open Access | Times Cited: 6
An Improved Hybrid Approach for Daily Electricity Peak Demand Forecasting during Disrupted Situations: A Case Study of COVID-19 Impact in Thailand
Lalitpat Aswanuwath, Warut Pannakkong, Jirachai Buddhakulsomsiri, et al.
Energies (2023) Vol. 17, Iss. 1, pp. 78-78
Open Access | Times Cited: 3
Henry Hub monthly natural gas price forecasting using CEEMDAN–Bagging–HHO–SVR
Yonghui Duan, Jianhui Zhang, Xiang Wang
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 2
Deep learning-based correlation analysis for probabilistic power flow considering renewable energy and energy storage
Xiaotian Xia, Li-Ye Xiao, Hua Ye
Frontiers in Energy Research (2024) Vol. 12
Open Access
Household electricity consumption prediction using database combinations, ensemble and hybrid modeling techniques
Gaikwad Sachin Ramnath, R Harikrishnan, S. M. Muyeen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
The Development of Forecasting Models for Life Insurance Data by Employing Time-series Analysis and Machine Learning Technique
Supika Huadsri, Wikanda Phaphan
WSEAS TRANSACTIONS ON MATHEMATICS (2024) Vol. 23, pp. 196-205
Open Access
Empirical analysis of monthly electricity consumption prediction in manufacturing industry using machine learning techniques
Yan Shi, Fengjiu Yang, Yi Zhang, et al.
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Towards Sustainable Energy–Water–Environment Nexus System Considering the Interactions between Climatic, Social and Economic Factors: A Case Study of Fujian, China
Xiao Li, Yu Zhang, Jing Liu, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9787-9787
Open Access
Nationwide Energy and Peak Demand Forecasting: A Case Study in Thailand
Min Nyan Shwe, Pyae Pyae Phyo, Chawalit Jeenanunta
(2023), pp. 1-6
Closed Access
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