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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.

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Showing 1-25 of 48 citing articles:

A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting
Muhammad Sajjad, Zulfiqar Ahmad Khan, Amin Ullah, et al.
IEEE Access (2020) Vol. 8, pp. 143759-143768
Open Access | Times Cited: 378
Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review
Jason Runge, Radu Zmeureanu
Energies (2019) Vol. 12, Iss. 17, pp. 3254-3254
Open Access | Times Cited: 209
A comprehensive review on the application of artificial neural networks in building energy analysis
Saeed Reza Mohandes, Xueqing Zhang, Amir Mahdiyar
Neurocomputing (2019) Vol. 340, pp. 55-75
Closed Access | Times Cited: 199
Buildings' energy consumption prediction models based on buildings’ characteristics: Research trends, taxonomy, and performance measures
Amal A. Al-Shargabi, Abdulbasit Almhafdy, Dina M. Ibrahim, et al.
Journal of Building Engineering (2022) Vol. 54, pp. 104577-104577
Closed Access | Times Cited: 76
Towards developing a systematic knowledge trend for building energy consumption prediction
Qingyao Qiao, Akilu Yunusa‐Kaltungo, R. E. Edwards
Journal of Building Engineering (2020) Vol. 35, pp. 101967-101967
Open Access | Times Cited: 84
An efficient data model for energy prediction using wireless sensors
Michel Chammas, Abdallah Makhoul, Jacques Demerjian
Computers & Electrical Engineering (2019) Vol. 76, pp. 249-257
Open Access | Times Cited: 81
Energy Consumption Prediction Using Machine Learning; A Review
Amir Mosavi, Abdullah Bahmani
(2019)
Open Access | Times Cited: 79
Identifying influential architectural design variables for early-stage building sustainability optimization
Xinyue Wang, Robin Teigland, Alexander Hollberg
Building and Environment (2024) Vol. 252, pp. 111295-111295
Open Access | Times Cited: 9
Prediction Model Based on an Artificial Neural Network for User-Based Building Energy Consumption in South Korea
Seunghui Lee, Sungwon Jung, Jaewook Lee
Energies (2019) Vol. 12, Iss. 4, pp. 608-608
Open Access | Times Cited: 63
Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects
K. Parvin, Molla Shahadat Hossain Lipu, M. A. Hannan, et al.
IEEE Access (2021) Vol. 9, pp. 41577-41602
Open Access | Times Cited: 53
Challenges in implementing data-driven approaches for building life cycle energy assessment: A review
V. Venkatraj, Manish Dixit
Renewable and Sustainable Energy Reviews (2022) Vol. 160, pp. 112327-112327
Open Access | Times Cited: 25
Green building envelope designs in different climate and seismic zones: Multi-objective ANN-based genetic algorithm
Salih Himmetoğlu, Yılmaz Delice, Emel Kızılkaya Aydoğan, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102505-102505
Closed Access | Times Cited: 22
Heating energy demand estimation of the EU building stock: Combining building physics and artificial neural networks
Ana Veljkovic, Daniel A. Pohoryles, Dionysios A. Bournas
Energy and Buildings (2023) Vol. 298, pp. 113474-113474
Open Access | Times Cited: 13
Optimising Building Energy and Comfort Predictions with Intelligent Computational Model
Salah Alghamdi, Waiching Tang, Sittimont Kanjanabootra, et al.
Sustainability (2024) Vol. 16, Iss. 8, pp. 3432-3432
Open Access | Times Cited: 4
A study of the mechanism of interventions affecting the energy-saving behavior of employees in shared workplaces of office buildings
Rui Zhang, Bo Yu, Cong Jiang, et al.
Energy (2025), pp. 134418-134418
Closed Access
Application of artificial neural networks for testing long-term energy policy targets
Damir J. Đozić, Branka Gvozdenac-Urošević
Energy (2019) Vol. 174, pp. 488-496
Closed Access | Times Cited: 39
Machine Learning Modeling for Energy Consumption of Residential and Commercial Sectors
Seyed Azad Nabavi, Alireza Aslani, Martha Arbayani Zaidan, et al.
Energies (2020) Vol. 13, Iss. 19, pp. 5171-5171
Open Access | Times Cited: 34
Low-cost optimization of geothermal heating system with thermal energy storage for an office building
Sihao Huang, Xiaoshuang Zhao, Lingbao Wang, et al.
Thermal Science and Engineering Progress (2023) Vol. 42, pp. 101918-101918
Closed Access | Times Cited: 12
ANN-Based Method for Urban Canopy Temperature Prediction and Building Energy Simulation with Urban Heat Island Effect in Consideration
Fitsum Tariku, Afshin Gharib Mombeni
Energies (2023) Vol. 16, Iss. 14, pp. 5335-5335
Open Access | Times Cited: 12
Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network
Juan José Saucedo-Dorantes, Israel Zamudio-Ramírez, Jonathan Cureño-Osornio, et al.
Applied Sciences (2021) Vol. 11, Iss. 17, pp. 8033-8033
Open Access | Times Cited: 23
A Novel Method of BP Neural Network Based Green Building Design—The Case of Hotel Buildings in Hot Summer and Cold Winter Region of China
Bin Xu, Xiang Yuan
Sustainability (2022) Vol. 14, Iss. 4, pp. 2444-2444
Open Access | Times Cited: 17
Random Forest, Artificial Neural Network, and Support Vector Machine Models for Honey Classification
Cecilia Martinez‐Castillo, Gonzalo Astray, J. C. Mejuto, et al.
eFood (2019) Vol. 1, Iss. 1, pp. 69-76
Open Access | Times Cited: 27
The Energy Saving Potential of Wide Windows in Hospital Patient Rooms, Optimizing the Type of Glazing and Lighting Control Strategy under Different Climatic Conditions
Silvia Cesari, Paolo Valdiserri, Maddalena Coccagna, et al.
Energies (2020) Vol. 13, Iss. 8, pp. 2116-2116
Open Access | Times Cited: 25
Application of neural networks to predict indoor air temperature in a building with artificial ventilation: impact of early stopping
Cathy Beljorelle Nguimatio Tsague, Jean Calvin Ndize Seutche, Leonelle Ndeudji Djeusu, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Machine learning driven building integrated photovoltaic (BIPV) envelope design optimization
Tharushi Imalka Samarasinghalage, Rebecca Yang, Yusen Zhao
Energy and Buildings (2024), pp. 114882-114882
Open Access | Times Cited: 2
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