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Modeling a ground-coupled heat pump system by a support vector machine

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  1. Hou, Gaoyang & Taherian, Hessam & Song, Ying & Jiang, Wei & Chen, Diyi, 2022. "A systematic review on optimal analysis of horizontal heat exchangers in ground source heat pump systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
  2. Lee, C.K., 2011. "Effects of multiple ground layers on thermal response test analysis and ground-source heat pump simulation," Applied Energy, Elsevier, vol. 88(12), pages 4405-4410.
  3. Javadi, Hossein & Mousavi Ajarostaghi, Seyed Soheil & Rosen, Marc A. & Pourfallah, Mohsen, 2019. "Performance of ground heat exchangers: A comprehensive review of recent advances," Energy, Elsevier, vol. 178(C), pages 207-233.
  4. Sivasakthivel, T. & Murugesan, K. & Thomas, H.R., 2014. "Optimization of operating parameters of ground source heat pump system for space heating and cooling by Taguchi method and utility concept," Applied Energy, Elsevier, vol. 116(C), pages 76-85.
  5. Dong, Shengming & Zhang, Yufeng & He, Zhonglu & Deng, Na & Yu, Xiaohui & Yao, Sheng, 2018. "Investigation of Support Vector Machine and Back Propagation Artificial Neural Network for performance prediction of the organic Rankine cycle system," Energy, Elsevier, vol. 144(C), pages 851-864.
  6. Zhang, Yandi, 2025. "Enhancing solar irradiance prediction for sustainable energy solutions employing a hybrid machine learning model; improving hydrogen production through Photoelectrochemical device," Applied Energy, Elsevier, vol. 382(C).
  7. Taghavifar, Hamid & Mardani, Aref, 2014. "A comparative trend in forecasting ability of artificial neural networks and regressive support vector machine methodologies for energy dissipation modeling of off-road vehicles," Energy, Elsevier, vol. 66(C), pages 569-576.
  8. Mojumder, Juwel Chandra & Ong, Hwai Chyuan & Chong, Wen Tong & Izadyar, Nima & Shamshirband, Shahaboddin, 2017. "The intelligent forecasting of the performances in PV/T collectors based on soft computing method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1366-1378.
  9. Gang, Wenjie & Wang, Jinbo, 2013. "Predictive ANN models of ground heat exchanger for the control of hybrid ground source heat pump systems," Applied Energy, Elsevier, vol. 112(C), pages 1146-1153.
  10. Sivasakthivel, T. & Murugesan, K. & Sahoo, P.K., 2014. "Optimization of ground heat exchanger parameters of ground source heat pump system for space heating applications," Energy, Elsevier, vol. 78(C), pages 573-586.
  11. Ebrahimzadeh Sarvestani, Maryam & Hoseiny, Saeed & Tavana, Davood & Di Maria, Francesco, 2024. "Strategic management of energy consumption and reduction of specific energy consumption using modern methods of artificial intelligence in an industrial plant," Energy, Elsevier, vol. 286(C).
  12. Sebarchievici, Calin & Sarbu, Ioan, 2015. "Performance of an experimental ground-coupled heat pump system for heating, cooling and domestic hot-water operation," Renewable Energy, Elsevier, vol. 76(C), pages 148-159.
  13. Chia, Yen Yee & Lee, Lam Hong & Shafiabady, Niusha & Isa, Dino, 2015. "A load predictive energy management system for supercapacitor-battery hybrid energy storage system in solar application using the Support Vector Machine," Applied Energy, Elsevier, vol. 137(C), pages 588-602.
  14. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A mixed biomass-based energy supply chain for enhancing economic and environmental sustainability benefits: A multi-criteria decision making framework," Applied Energy, Elsevier, vol. 206(C), pages 1088-1101.
  15. Hu, Bin & Li, Yaoyu & Mu, Baojie & Wang, Shaojie & Seem, John E. & Cao, Feng, 2016. "Extremum seeking control for efficient operation of hybrid ground source heat pump system," Renewable Energy, Elsevier, vol. 86(C), pages 332-346.
  16. Shamshirband, Shahaboddin & Petković, Dalibor & Anuar, Nor Badrul & Gani, Abdullah, 2014. "Adaptive neuro-fuzzy generalization of wind turbine wake added turbulence models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 270-276.
  17. Soni, Suresh Kumar & Pandey, Mukesh & Bartaria, Vishvendra Nath, 2016. "Hybrid ground coupled heat exchanger systems for space heating/cooling applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 724-738.
  18. Evens, Maarten & Arteconi, Alessia, 2025. "Heat pump digital twin: An accurate neural network model for heat pump behaviour prediction," Applied Energy, Elsevier, vol. 378(PA).
  19. Xiao, Ling & Wang, Jianzhou & Dong, Yao & Wu, Jie, 2015. "Combined forecasting models for wind energy forecasting: A case study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 271-288.
  20. Aikins, Kojo Atta & Choi, Jong Min, 2012. "Current status of the performance of GSHP (ground source heat pump) units in the Republic of Korea," Energy, Elsevier, vol. 47(1), pages 77-82.
  21. Liu, Yanli & Wang, Junyi & Liu, Liqi, 2024. "Physics-informed reinforcement learning for probabilistic wind power forecasting under extreme events," Applied Energy, Elsevier, vol. 376(PA).
  22. Mladenović, Igor & Sokolov-Mladenović, Svetlana & Milovančević, Milos & Marković, Dušan & Simeunović, Nenad, 2016. "Management and estimation of thermal comfort, carbon dioxide emission and economic growth by support vector machine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 466-476.
  23. Razavi, M. & Dehghani-sanij, A.R. & Khani, M.R. & Dehghani, M.R., 2015. "Comparing meshless local Petrov–Galerkin and artificial neural networks methods for modeling heat transfer in cisterns," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 521-529.
  24. Zanchini, Enzo & Lazzari, Stefano & Priarone, Antonella, 2012. "Long-term performance of large borehole heat exchanger fields with unbalanced seasonal loads and groundwater flow," Energy, Elsevier, vol. 38(1), pages 66-77.
  25. Aira, Roberto & Fernández-Seara, José & Diz, Rubén & Pardiñas, Ángel Á., 2017. "Experimental analysis of a ground source heat pump in a residential installation after two years in operation," Renewable Energy, Elsevier, vol. 114(PB), pages 1214-1223.
  26. Dong, Rentao & Xu, Jiuping & Lin, Bo, 2017. "ROI-based study on impact factors of distributed PV projects by LSSVM-PSO," Energy, Elsevier, vol. 124(C), pages 336-349.
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