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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:

Energy consumption prediction by using machine learning for smart building: Case study in Malaysia
Mel Keytingan M. Shapi, Nor Azuana Ramli, Lilik Jamilatul Awalin
Developments in the Built Environment (2020) Vol. 5, pp. 100037-100037
Open Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Journal of Building Engineering (2021) Vol. 45, pp. 103406-103406
Open Access | Times Cited: 332
Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II
Haidar Hosamo Hosamo, Merethe Solvang Tingstveit, Henrik Kofoed Nielsen, et al.
Energy and Buildings (2022) Vol. 277, pp. 112479-112479
Open Access | Times Cited: 98
Machine learning and artificial intelligence in CNC machine tools, A review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
Sustainable Manufacturing and Service Economics (2023) Vol. 2, pp. 100009-100009
Open Access | Times Cited: 96
Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review
Wadim Striełkowski, Andrey Vlasov, Kirill Selivanov, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4025-4025
Open Access | Times Cited: 52
Modeling energy-efficient building loads using machine-learning algorithms for the design phase
Flavian Emmanuel Sapnken, Mohammad M. Hamed, Božidar Soldo, et al.
Energy and Buildings (2023) Vol. 283, pp. 112807-112807
Closed Access | Times Cited: 40
Advanced informatic technologies for intelligent construction: A review
Limao Zhang, Yongsheng Li, Yue Pan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109104-109104
Closed Access | Times Cited: 29
A Systematic Review of Energy Management Strategies for Resource Allocation in the Cloud: Clustering, Optimization and Machine Learning
Stanly Jayaprakash, N. Devarajan, Rocío Pérez de Prado, et al.
Energies (2021) Vol. 14, Iss. 17, pp. 5322-5322
Open Access | Times Cited: 79
Machine learning for energy performance prediction at the design stage of buildings
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Energy Sustainable Development/Energy for sustainable development (2021) Vol. 66, pp. 12-25
Open Access | Times Cited: 67
A machine learning and deep learning based approach to predict the thermal performance of phase change material integrated building envelope
Dnyandip K. Bhamare, Pranaynil Saikia, Manish K. Rathod, et al.
Building and Environment (2021) Vol. 199, pp. 107927-107927
Closed Access | Times Cited: 59
Review on optimization techniques and role of Artificial Intelligence in home energy management systems
Mounica Nutakki, Srihari Mandava
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105721-105721
Closed Access | Times Cited: 59
A Hybrid Model with Applying Machine Learning Algorithms and Optimization Model to Forecast Greenhouse Gas Emissions with Energy Market Data
Majid Emami Javanmard, S.F. Ghaderi
Sustainable Cities and Society (2022) Vol. 82, pp. 103886-103886
Closed Access | Times Cited: 56
A machine-learning ensemble model for predicting energy consumption in smart homes
Ishaani Priyadarshini, Sandipan Sahu, Raghvendra Kumar, et al.
Internet of Things (2022) Vol. 20, pp. 100636-100636
Closed Access | Times Cited: 43
A Review on Optimal Energy Management in Commercial Buildings
Jahangir Hossain, Aida Fazliana Abdul Kadir, Ainain Nur Hanafi, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1609-1609
Open Access | Times Cited: 38
Data-Driven Tools for Building Energy Consumption Prediction: A Review
Razak Olu-Ajayi, Hafiz Alaka, Hakeem A. Owolabi, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2574-2574
Open Access | Times Cited: 33
Energy demand forecasting in seven sectors by an optimization model based on machine learning algorithms
Majid Emami Javanmard, S.F. Ghaderi
Sustainable Cities and Society (2023) Vol. 95, pp. 104623-104623
Closed Access | Times Cited: 32
Demand forecasting of spare parts with regression and machine learning methods: Application in a bus fleet
Metin İfraz, Adnan Aktepe, Süleyman Ersöz, et al.
Journal of Engineering Research (2023) Vol. 11, Iss. 2, pp. 100057-100057
Open Access | Times Cited: 24
Building energy performance prediction: A reliability analysis and evaluation of feature selection methods
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120109-120109
Open Access | Times Cited: 22
A comprehensive review on coordinated charging of electric vehicles in distribution networks
Isha Chandra, Navneet Kumar Singh, Paulson Samuel
Journal of Energy Storage (2024) Vol. 89, pp. 111659-111659
Closed Access | Times Cited: 12
Machine Learning Algorithms for Predicting Energy Consumption in Educational Buildings
Elhabyb Khaoula, Amine Baïna, Mostafa Bellafkih, et al.
International Journal of Energy Research (2024) Vol. 2024, pp. 1-19
Open Access | Times Cited: 10
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
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges
Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 67953-67996
Closed Access | Times Cited: 8
Prediction and detection of potholes in urban roads: Machine learning and deep learning based image segmentation approaches
Sang-Yum Lee, Tri Ho Minh Le, Yeong-Min Kim
Developments in the Built Environment (2022) Vol. 13, pp. 100109-100109
Open Access | Times Cited: 30
Investigating the effect of new and old weather data on the energy consumption of buildings affected by global warming in different climates
Ali Maboudi Reveshti, Abdolsalam Ebrahimpour, Jafar Razmara
International Journal of Thermofluids (2023) Vol. 19, pp. 100377-100377
Open Access | Times Cited: 20
Artificial Intelligence for Management of Variable Renewable Energy Systems: A Review of Current Status and Future Directions
Latifa A. Yousef, Hibba Yousef, Lisandra Rocha‐Meneses
Energies (2023) Vol. 16, Iss. 24, pp. 8057-8057
Open Access | Times Cited: 19
Impact of power consumption in containerized clouds: A comprehensive analysis of open-source power measurement tools
Carlo Centofanti, J. Freitas Santos, Venkateswarlu Gudepu, et al.
Computer Networks (2024) Vol. 245, pp. 110371-110371
Open Access | Times Cited: 7
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