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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:

Explaining household electricity consumption using quantile regression, decision tree and artificial neural network
Jean Calvin Nsangou, Joseph Kenfack, Urbain Nzotcha, et al.
Energy (2022) Vol. 250, pp. 123856-123856
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Machine Learning and Deep Learning in Energy Systems: A Review
Mohammad Mahdi Forootan, Iman Larki, Rahim Zahedi, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4832-4832
Open Access | Times Cited: 149
Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms
Sadegh Afzal, Behrooz M. Ziapour, Afshar Shokri, et al.
Energy (2023) Vol. 282, pp. 128446-128446
Closed Access | Times Cited: 98
Machine learning-based optimization of catalytic hydrodeoxygenation of biomass pyrolysis oil
Xiangmeng Chen, Alireza Shafizadeh, Hossein Shahbeik, et al.
Journal of Cleaner Production (2024) Vol. 437, pp. 140738-140738
Closed Access | Times Cited: 17
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms
Sadegh Afzal, Afshar Shokri, Behrooz M. Ziapour, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107356-107356
Closed Access | Times Cited: 36
A deep learning framework using multi-feature fusion recurrent neural networks for energy consumption forecasting
Lei Fang, Bin He
Applied Energy (2023) Vol. 348, pp. 121563-121563
Closed Access | Times Cited: 32
Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors
Binbin Hu, Yaodan Dai, Haidong Zhou, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134865-134865
Closed Access | Times Cited: 13
Machine Learning Techniques in Enhanced Oil Recovery Screening Using Semisupervised Label Propagation
Pouya Vaziri, Sanyar Ahmadi, Fatemeh Daneshfar, et al.
SPE Journal (2024) Vol. 29, Iss. 09, pp. 4557-4578
Closed Access | Times Cited: 9
Intermittent solar power hybrid forecasting system based on pattern recognition and feature extraction
Yue Yu, Tong Niu, Jianzhou Wang, et al.
Energy Conversion and Management (2022) Vol. 277, pp. 116579-116579
Closed Access | Times Cited: 30
Understanding the load profiles and electricity consumption patterns of PV mini-grid customers in rural off-grid east africa: A data-driven study
Yibeltal T. Wassie, Erik O. Ahlgren
Energy Policy (2024) Vol. 185, pp. 113969-113969
Open Access | Times Cited: 6
Using machine learning techniques to identify major determinants of electricity usage in residential buildings of Pakistan
Muhammad Sohaib Jarral, Khuram Pervez Amber, Taqi Ahmad Cheema, et al.
Journal of Building Engineering (2025) Vol. 100, pp. 111800-111800
Closed Access
Multivariate machine learning algorithms for energy demand forecasting and load behavior analysis
Farhan Hussain, M. Hasanuzzaman, Nasrudin Abd Rahim
Energy Conversion and Management X (2025), pp. 100903-100903
Open Access
Comparison of LSTM and QR models for predicting CPUE of albacore tuna in waters near the Cook Islands
Hui Xu, Liming Song, Yuwei Li, et al.
Fisheries Science (2025)
Closed Access
Artificial intelligence models development for profitability factor prediction in concentrated solar power with dual backup systems
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Omer A. Alawi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Identification of factors influencing electricity consumption in Yaoundé City, Cameroon
Leonce Wehnelt TOKAM, Sanoussi S. Ouro-Djobo
African Journal of Science Technology Innovation and Development (2025), pp. 1-14
Open Access
Passive control of, energy storage of NePCM, heat and mass transfer with gamma-shaped baffle in a thermo-bioconvection system using CFD and artificial intelligence
Shafqat Hussain, Fatih Ertam, Mohamed Bechir Ben Hamida, et al.
International Communications in Heat and Mass Transfer (2023) Vol. 144, pp. 106764-106764
Closed Access | Times Cited: 14
Determinants of electricity consumption from decentralized solar PV mini-grids in rural East Africa: An econometric analysis
Yibeltal T. Wassie, Erik O. Ahlgren
Energy (2023) Vol. 274, pp. 127351-127351
Open Access | Times Cited: 12
Feature extraction and an interpretable hierarchical model for annual hourly electricity consumption profile of commercial buildings in China
Hao Li, Yi Dai, Xiaochen Liu, et al.
Energy Conversion and Management (2023) Vol. 291, pp. 117244-117244
Closed Access | Times Cited: 11
Vulnerability of sustainable markets to fossil energy shocks
Yiying Li, Xiaohang Ren, Farhad Taghizadeh–Hesary
Resources Policy (2023) Vol. 85, pp. 103879-103879
Closed Access | Times Cited: 11
How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence
Yuanping Wang, Lingchun Hou, Lang Hu, et al.
Energy (2023) Vol. 284, pp. 129313-129313
Closed Access | Times Cited: 10
Enhancing the explanation of household water consumption through the water-energy nexus concept
Zonghan Li, Chunyan Wang, Yi Liu, et al.
npj Clean Water (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
Analysis of the influence of the stay-at-home order on the electricity consumption in Chinese university dormitory buildings during the COVID-19 pandemic
Tingting Zhou, Xi Luo, Xiaojun Liu, et al.
Energy and Buildings (2022) Vol. 277, pp. 112582-112582
Open Access | Times Cited: 14
Residential water and energy consumption prediction at hourly resolution based on a hybrid machine learning approach
Chunyan Wang, Zonghan Li, Xiaoyuan Ni, et al.
Water Research (2023) Vol. 246, pp. 120733-120733
Closed Access | Times Cited: 8
Probability density prediction of peak load based on mixed frequency noise-assisted multivariate empirical mode decomposition
Yaoyao He, Yuting Liu, Wanying Zhang
Applied Intelligence (2024) Vol. 54, Iss. 3, pp. 2648-2672
Closed Access | Times Cited: 2
Energy Consumption Prediction in Residential Buildings—An Accurate and Interpretable Machine Learning Approach Combining Fuzzy Systems with Evolutionary Optimization
Marian B. Gorzałczany, Filip Rudziński
Energies (2024) Vol. 17, Iss. 13, pp. 3242-3242
Open Access | Times Cited: 2
From Urban Design to Energy Sustainability: How Urban Morphology Influences Photovoltaic System Performance
Yanyan Huang, Yi Yang, Hangyi Ren, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 7193-7193
Open Access | Times Cited: 2
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