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:
Hybrid Machine Learning Model for Electricity Consumption Prediction Using Random Forest and Artificial Neural Networks
Witwisit Kesornsit, Yaowarat Sirisathitkul
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 6
Witwisit Kesornsit, Yaowarat Sirisathitkul
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 6
Showing 6 citing articles:
Predicting Residential Electricity Consumption Using CNN-BiLSTM-SA Neural Networks
Meng-Ping Wu, Fan Wu
IEEE Access (2024) Vol. 12, pp. 71555-71565
Open Access | Times Cited: 3
Meng-Ping Wu, Fan Wu
IEEE Access (2024) Vol. 12, pp. 71555-71565
Open Access | Times Cited: 3
Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach
Mohammad Nyme Uddin, Minhyun Lee, Xuerong Cui, et al.
Energy and Buildings (2024), pp. 115102-115102
Closed Access | Times Cited: 2
Mohammad Nyme Uddin, Minhyun Lee, Xuerong Cui, et al.
Energy and Buildings (2024), pp. 115102-115102
Closed Access | Times Cited: 2
Comparison of the Accuracy of Predicting Electricity Revenue by Predicting Electricity Quantity and Predicting Electricity Revenue by Historical Received Electricity Fees
Weipeng Qi, Heng Yue, Siyang Xu, et al.
(2024)
Open Access
Weipeng Qi, Heng Yue, Siyang Xu, et al.
(2024)
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
Yan Shi, Fengjiu Yang, Yi Zhang, et al.
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Utilizing the BP Neural Network Model for Comprehensive Assessment of Physical Fitness among College Students
Yiming Li, Jia‐Wei Wang, Xin Wen
(2024), pp. 457-461
Closed Access
Yiming Li, Jia‐Wei Wang, Xin Wen
(2024), pp. 457-461
Closed Access
A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force
Rasha Elstohy, Nevein Aneis, Eman M. Ali
PeerJ Computer Science (2024) Vol. 10, pp. e2430-e2430
Open Access
Rasha Elstohy, Nevein Aneis, Eman M. Ali
PeerJ Computer Science (2024) Vol. 10, pp. e2430-e2430
Open Access
