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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:

Thermal monitoring and optimization of geothermal district heating systems using artificial neural network: A case study
Ali Keçebaş, İsmail Yabanova
Energy and Buildings (2012) Vol. 50, pp. 339-346
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Renewable energy: Present research and future scope of Artificial Intelligence
Sunil Kumar Jha, Jasmin Bilalovic, Anju Jha, et al.
Renewable and Sustainable Energy Reviews (2017) Vol. 77, pp. 297-317
Closed Access | Times Cited: 289
Integration of storage and renewable energy into district heating systems: A review of modelling and optimization
Dave Olsthoorn, Fariborz Haghighat, Parham A. Mirzaei
Solar Energy (2016) Vol. 136, pp. 49-64
Closed Access | Times Cited: 213
Tracing the evolution and charting the future of geothermal energy research and development
Rohit Rajasekharan Nair Valsala, Vipin Raj R., Dennis Cheruiyot Kiplangat, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 184, pp. 113531-113531
Closed Access | Times Cited: 67
A Review of District Heating Systems: Modeling and Optimization
Behrang Talebi, Parham A. Mirzaei, Arash Bastani, et al.
Frontiers in Built Environment (2016) Vol. 2
Open Access | Times Cited: 93
Comparative data-driven enhanced geothermal systems forecasting models: A case study of Qiabuqia field in China
Zhenqian Xue, Kai Zhang, Chi Zhang, et al.
Energy (2023) Vol. 280, pp. 128255-128255
Closed Access | Times Cited: 26
A systematic review of data analytics applications in above-ground geothermal energy operations
Paul Michael Baguhin Abrasaldo, Sadiq J. Zarrouk, Andreas W. Kempa-Liehr
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 113998-113998
Open Access | Times Cited: 24
Accuracy improvement of the load forecasting in the district heating system by the informer-based framework with the optimal step size selection
Ji Zhang, Yuxin Hu, Yonggong Yuan, et al.
Energy (2024) Vol. 291, pp. 130347-130347
Closed Access | Times Cited: 11
Readiness of artificial intelligence technology for managing energy demands from renewable sources
Jaya Verma, Laura Sandys, A. Matthews, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108831-108831
Open Access | Times Cited: 9
Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis
Wei Tian, Jitian Song, Zhanyong Li, et al.
Applied Energy (2014) Vol. 135, pp. 320-328
Closed Access | Times Cited: 86
Heat load prediction in district heating systems with adaptive neuro-fuzzy method
Shahaboddin Shamshirband, Dalibor Petković, Rasul Enayatifar, et al.
Renewable and Sustainable Energy Reviews (2015) Vol. 48, pp. 760-767
Closed Access | Times Cited: 76
Thermo-fluid dynamic model of large district heating networks for the analysis of primary energy savings
Elisa Guelpa, Adriano Sciacovelli, Vittorio Verda
Energy (2017) Vol. 184, pp. 34-44
Open Access | Times Cited: 75
Ensemble learning for predicting average thermal extraction load of a hydrothermal geothermal field: A case study in Guanzhong Basin, China
Ruyang Yu, Kai Zhang, R. Brindha, et al.
Energy (2024) Vol. 296, pp. 131146-131146
Closed Access | Times Cited: 5
Innovative Approaches of Optimization Methods Used in Geothermal Power Plants: Artificial Neural Networks and Genetic Algorithms
Özgür Özer, Harun Kemal Öztürk
Energies (2025) Vol. 18, Iss. 2, pp. 311-311
Open Access
Performance of a residential ground source heat pump system in sedimentary rock formation
Chanjuan Han, Xiong Yu
Applied Energy (2015) Vol. 164, pp. 89-98
Open Access | Times Cited: 58
Improved thermal transient modeling with new 3-order numerical solution for a district heating network with consideration of the pipe wall's thermal inertia
Hai Wang, Hua Meng
Energy (2018) Vol. 160, pp. 171-183
Closed Access | Times Cited: 49
A review of modelling and optimisation techniques for district heating systems
Ioan Sârbu, Matei Mirza, Emanuel Crasmareanu
International Journal of Energy Research (2019)
Open Access | Times Cited: 46
Review of machine learning methods applied to enhanced geothermal systems
Long Wang, Ziwang Yu, Yanjun Zhang, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 3
Closed Access | Times Cited: 15
A comparative study on conventional and advanced exergetic analyses of geothermal district heating systems based on actual operational data
Arif Hepbaşlı, Ali Keçebaş
Energy and Buildings (2013) Vol. 61, pp. 193-201
Closed Access | Times Cited: 37
Application of artificial neural networks to near-instant construction of short-term g-functions
Philippe Pasquier, Angelo Zarrella, Richard Labib
Applied Thermal Engineering (2018) Vol. 143, pp. 910-921
Closed Access | Times Cited: 32
Research on control strategy integrated with characteristics of user's energy-saving behavior of district heating system
Chunhua Sun, Yanan Liu, Xiaoyu Gao, et al.
Energy (2022) Vol. 245, pp. 123214-123214
Closed Access | Times Cited: 17
Data-driven approach for the detection of faults in district heating networks
Enzo Losi, Lucrezia Manservigi, Pier Ruggero Spina, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101355-101355
Closed Access | Times Cited: 3
Energetic, exergetic, economic and environmental evaluations of geothermal district heating systems: An application
Ali Keçebaş
Energy Conversion and Management (2012) Vol. 65, pp. 546-556
Closed Access | Times Cited: 36
The use of artificial neural network to evaluate insulation thickness and life cycle costs: Pipe insulation application
Muhammet Kayfeci, İsmail Yabanova, Ali Keçebaş
Applied Thermal Engineering (2013) Vol. 63, Iss. 1, pp. 370-378
Closed Access | Times Cited: 34
The hot stack performance of the shallow geothermal heat pump system with/without intensification state of groundwater seepage in Nanjing (China)
Junye Hua, Gui Li, Xiaobao Zhao, et al.
Energy and Buildings (2017) Vol. 150, pp. 558-566
Closed Access | Times Cited: 30
Advanced exergo-environmental analyses and assessments of a real district heating system with geothermal energy
Muhammet Yürüsoy, Ali Keçebaş
Applied Thermal Engineering (2016) Vol. 113, pp. 449-459
Closed Access | Times Cited: 27
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