Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 41

Showing 1-25 of 41 citing articles:

Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy
Faham Tahmasebinia, Lin Lin, Shuo Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8814-8814
Open Access | Times Cited: 45
An assessment of the impact of building envelope design on the tradeoff between embodied and operating energy
Sahar Fereidoni, Mehrdad Nabisi, Leila Fereidooni, et al.
Energy and Buildings (2023) Vol. 298, pp. 113542-113542
Closed Access | Times Cited: 36
Data-Driven Energy Consumption Prediction of a University Office Building using Machine Learning Algorithms
Hasan Yeşilyurt, Yeşim DOKUZ, Ahmet Şakir Dokuz
Energy (2024), pp. 133242-133242
Closed Access | Times Cited: 10
A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management
Francesca Villano, Gerardo Maria Mauro, Alessia Pedace
Thermo (2024) Vol. 4, Iss. 1, pp. 100-139
Open Access | Times Cited: 9
Exploring the Intersection of Machine Learning and Big Data: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation
Flavian Emmanuel Sapnken, Benjamin Salomon Diboma, Ali Khalili Tazehkandgheshlagh, et al.
Grey Systems Theory and Application (2024) Vol. 14, Iss. 4, pp. 708-732
Closed Access | Times Cited: 7
Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta, North Cyprus
Hirou Karimi, Mohammad Anvar Adibhesami, Siamak Hoseinzadeh, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1342-1342
Open Access | Times Cited: 6
Enhancing Building Energy Efficiency: An Integrated Approach to Predicting Heating and Cooling Loads using Machine Learning and Optimization Algorithms
Tianfei Gao, Xu Han, J. Wang, et al.
Journal of Building Engineering (2024), pp. 110759-110759
Closed Access | Times Cited: 6
Energy-efficiency oriented occupancy space optimization in buildings: A data-driven approach based on multi-sensor fusion considering behavior-environment integration
Ying Zhou, Yu Wang, Chenshuang Li, et al.
Energy (2024) Vol. 299, pp. 131396-131396
Closed Access | Times Cited: 5
Toward the application of a machine learning framework for building life cycle energy assessment
V. Venkatraj, Manish Dixit, Wei Yan, et al.
Energy and Buildings (2023) Vol. 297, pp. 113444-113444
Open Access | Times Cited: 11
Machine learning algorithms for energy efficiency: Mitigating carbon dioxide emissions and optimizing costs in a hospital infrastructure
Murat As, Turhan Bilir
Energy and Buildings (2024) Vol. 318, pp. 114494-114494
Closed Access | Times Cited: 4
A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks
Qing Yin, Chunmiao Han, Ailin Li, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7805-7805
Open Access | Times Cited: 4
Promoting sustainable development goals through energy-related behaviors of household occupants: Fostering sustainable energy solutions in developing countries
Mohammad M. Hamed, Aseel Alkhreasha, Ahmad AlShaer, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 213, pp. 115511-115511
Closed Access
Machine learning application in building energy consumption prediction: A comprehensive review
Jingsong Ji, Hao Yu, Xudong Wang, et al.
Journal of Building Engineering (2025), pp. 112295-112295
Closed Access
Evaluating the impact of data preprocessing to develop a robust MEP-based forecasting model for building integrated with PCM
Kashif Nazir, Shazim Ali Memon
Energy (2025), pp. 135763-135763
Closed Access
Learning latent dynamics with a grey neural ODE prediction model and its application
Flavian Emmanuel Sapnken, Khazali Acyl Ahmat, Michel Boukar, et al.
Grey Systems Theory and Application (2023) Vol. 13, Iss. 3, pp. 488-516
Closed Access | Times Cited: 7
Exploring the barriers to the adoption of environmental economic practices in the construction industry
John Aliu, Ayodeji Emmanuel Oke, Onoriode Austin Odia, et al.
Management of Environmental Quality An International Journal (2024)
Closed Access | Times Cited: 2
Prediction of Energy Efficiency for Residential Buildings Using Supervised Machine Learning Algorithms
Tahir Mahmood, Muhammad Asif
Energies (2024) Vol. 17, Iss. 19, pp. 4965-4965
Open Access | Times Cited: 2
Research on systematic analysis and optimization method for ice storage cooling system based on model predictive control: A case study
Wenbo Qiang, Ying Liao, Jiewen Deng, et al.
Energy and Buildings (2024) Vol. 326, pp. 115065-115065
Closed Access | Times Cited: 2
Economic determinants and forecasting of electricity demand in Cameroon: A policy-driven approach using multilinear regression
Théodore Patrice Nna Nna, Flavian Emmanuel Sapnken, Jean Gaston Tamba
Energy 360. (2024), pp. 100013-100013
Closed Access | Times Cited: 2
Forecasting Petroleum Products Consumption in the Chadian Road Transport Sector using Optimised Grey Models
Ahmat Khazali Acyl, Flavian Emmanuel Sapnken, Aubin Kinfack Jeutsa, et al.
International Journal of Energy Economics and Policy (2024) Vol. 14, Iss. 1, pp. 603-611
Open Access | Times Cited: 1
Hybrid machine learning application with integration of meta-heuristic algorithm for prediction of cooling load
Pingxiang Ming
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4133-4149
Closed Access | Times Cited: 1
Advancing Energy Performance Efficiency in Residential Buildings for Sustainable Design: Integrating Machine Learning and Optimized Explainable AI (AIX)
Badr Saad Alotaibi
International Journal of Energy Research (2024) Vol. 2024, pp. 1-21
Open Access | Times Cited: 1
Predicting residential building cooling load with a machine learning random forest approach
Peng Peng
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Closed Access | Times Cited: 1
Performance evaluation of multivariate deep-time convolution neural architectures for short-term electricity forecasting: Findings and failures
Flavian Emmanuel Sapnken, Ali Khalili Tazehkandgheshlagh, Mohammed Hamaidi, et al.
Energy 360. (2024) Vol. 1, pp. 100005-100005
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top