IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v271y2020ics0306261920306590.html

Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Yang, Shiyu & Wan, Man Pun & Chen, Wanyu & Ng, Bing Feng & Dubey, Swapnil, 2021. "Experiment study of machine-learning-based approximate model predictive control for energy-efficient building control," Applied Energy, Elsevier, vol. 288(C).
  2. Liu, Xiaoqi & Lee, Seungjae & Bilionis, Ilias & Karava, Panagiota & Joe, Jaewan & Sadeghi, Seyed Amir, 2021. "A user-interactive system for smart thermal environment control in office buildings," Applied Energy, Elsevier, vol. 298(C).
  3. Guilherme V. Hollweg & Shahid A. Khan & Shivam Chaturvedi & Yaoyu Fan & Mengqi Wang & Wencong Su, 2023. "Grid-Connected Converters: A Brief Survey of Topologies, Output Filters, Current Control, and Weak Grids Operation," Energies, MDPI, vol. 16(9), pages 1-31, April.
  4. Andolfi, Laura & Lima Baima, Renan & Burcheri, Lorenzo Matthias & Pavić, Ivan & Fridgen, Gilbert, 2025. "Sociotechnical design of building energy management systems in the public sector: Five design principles," Applied Energy, Elsevier, vol. 377(PD).
  5. Rana Loubani & Didier Defer & Ola Alhaj-Hasan & Julien Chamoin, 2025. "Optimization of Hydronic Heating System in a Commercial Building: Application of Predictive Control with Limited Data," Energies, MDPI, vol. 18(9), pages 1-25, April.
  6. Chong, Cheng Tung & Fan, Yee Van & Lee, Chew Tin & Klemeš, Jiří Jaromír, 2022. "Post COVID-19 ENERGY sustainability and carbon emissions neutrality," Energy, Elsevier, vol. 241(C).
  7. Jian Tang & Hao Tian & Tianzheng Wang, 2024. "A Review of Model Predictive Control for the Municipal Solid Waste Incineration Process," Sustainability, MDPI, vol. 16(17), pages 1-35, September.
  8. Long Zhang & Meng Huo & Teng Zhou & Jiapeng Pan & Yin Xu, 2025. "Energy Flexibility Realization in Grid-Interactive Buildings for Demand Response: State-of-the-Art Review on Strategies, Resources, Control, and KPIs," Energies, MDPI, vol. 18(18), pages 1-21, September.
  9. Wang, Xiangwei & Wang, Peng & Huang, Renke & Zhu, Xiuli & Arroyo, Javier & Li, Ning, 2025. "Safe deep reinforcement learning for building energy management," Applied Energy, Elsevier, vol. 377(PA).
  10. Gao, Datong & Zhao, Bin & Kwan, Trevor Hocksun & Hao, Yong & Pei, Gang, 2022. "The spatial and temporal mismatch phenomenon in solar space heating applications: status and solutions," Applied Energy, Elsevier, vol. 321(C).
  11. Valerio Lo Brano & Stefania Guarino & Alessandro Buscemi & Marina Bonomolo, 2022. "Development of Neural Network Prediction Models for the Energy Producibility of a Parabolic Dish: A Comparison with the Analytical Approach," Energies, MDPI, vol. 15(24), pages 1-27, December.
  12. Chou, Jui-Sheng & Truong, Dinh-Nhat & Kuo, Ching-Chiun, 2021. "Imaging time-series with features to enable visual recognition of regional energy consumption by bio-inspired optimization of deep learning," Energy, Elsevier, vol. 224(C).
  13. Zheng, Wanfu & Wang, Dan & Wang, Zhe, 2024. "Economic model predictive control for building HVAC system: A comparative analysis of model-based and data-driven approaches using the BOPTEST Framework," Applied Energy, Elsevier, vol. 374(C).
  14. Wang, Yi & Qiu, Dawei & Sun, Mingyang & Strbac, Goran & Gao, Zhiwei, 2023. "Secure energy management of multi-energy microgrid: A physical-informed safe reinforcement learning approach," Applied Energy, Elsevier, vol. 335(C).
  15. Abdelali Agouzoul & Emmanuel Simeu & Mohamed Tabaa, 2024. "Advancing Sustainable Building Practices: Intelligent Methods for Enhancing Heating and Cooling Energy Efficiency," Sustainability, MDPI, vol. 16(7), pages 1-29, March.
  16. Savadkoohi, Marjan & Macarulla, Marcel & Casals, Miquel, 2023. "Facilitating the implementation of neural network-based predictive control to optimize building heating operation," Energy, Elsevier, vol. 263(PB).
  17. Sun, Hongchang & Niu, Yanlei & Li, Chengdong & Zhou, Changgeng & Zhai, Wenwen & Chen, Zhe & Wu, Hao & Niu, Lanqiang, 2022. "Energy consumption optimization of building air conditioning system via combining the parallel temporal convolutional neural network and adaptive opposition-learning chimp algorithm," Energy, Elsevier, vol. 259(C).
  18. Chen, Xiao & Cao, Benyi & Pouramini, Somayeh, 2023. "Energy cost and consumption reduction of an office building by Chaotic Satin Bowerbird Optimization Algorithm with model predictive control and artificial neural network: A case study," Energy, Elsevier, vol. 270(C).
  19. Buonomano, A. & Forzano, C. & Giuzio, G.F. & Palombo, A. & Russo, G., 2024. "Energy efficiency and indoor thermal comfort of railway carriages: Development of an innovative passenger-centric-control framework for HVAC systems," Energy, Elsevier, vol. 307(C).
  20. Hu, Guoqing & You, Fengqi, 2024. "AI-enabled cyber-physical-biological systems for smart energy management and sustainable food production in a plant factory," Applied Energy, Elsevier, vol. 356(C).
  21. Saloux, Etienne & Candanedo, José A. & Vallianos, Charalampos & Morovat, Navid & Zhang, Kun, 2025. "From theory to practice: A critical review of model predictive control field implementations in the built environment," Applied Energy, Elsevier, vol. 393(C).
  22. Amir Faraji & Maria Rashidi & Fatemeh Rezaei & Payam Rahnamayiezekavat, 2023. "A Meta-Synthesis Review of Occupant Comfort Assessment in Buildings (2002–2022)," Sustainability, MDPI, vol. 15(5), pages 1-36, February.
  23. Giacomo Segala & Roberto Doriguzzi-Corin & Claudio Peroni & Matteo Gerola & Domenico Siracusa, 2023. "EECO: An AI-Based Algorithm for Energy-Efficient Comfort Optimisation," Energies, MDPI, vol. 16(21), pages 1-28, October.
  24. Amini Toosi, Hashem & Del Pero, Claudio & Leonforte, Fabrizio & Lavagna, Monica & Aste, Niccolò, 2023. "Machine learning for performance prediction in smart buildings: Photovoltaic self-consumption and life cycle cost optimization," Applied Energy, Elsevier, vol. 334(C).
  25. Wang, Jinda & Kong, Fansi & Pan, Baoqiang & Zheng, Jinfu & Xue, Puning & Sun, Chunhua & Qi, Chengying, 2024. "Low-order gray-box modeling of heating buildings and the progressive dimension reduction identification of uncertain model parameters," Energy, Elsevier, vol. 294(C).
  26. Boza, Pal & Evgeniou, Theodoros, 2021. "Artificial intelligence to support the integration of variable renewable energy sources to the power system," Applied Energy, Elsevier, vol. 290(C).
  27. Raman, Naren Srivaths & Chen, Bo & Barooah, Prabir, 2022. "On energy-efficient HVAC operation with Model Predictive Control: A multiple climate zone study," Applied Energy, Elsevier, vol. 324(C).
  28. Deng, Zhipeng & Wang, Xuezheng & Dong, Bing, 2023. "Quantum computing for future real-time building HVAC controls," Applied Energy, Elsevier, vol. 334(C).
  29. DeQuante Rashon Mckoy & Raymond Charles Tesiero & Yaa Takyiwaa Acquaah & Balakrishna Gokaraju, 2023. "Review of HVAC Systems History and Future Applications," Energies, MDPI, vol. 16(17), pages 1-15, August.
  30. Bian, Jianxiao & Wang, Jiarui & Yece, Qian, 2024. "A novel study on power consumption of an HVAC system using CatBoost and AdaBoost algorithms combined with the metaheuristic algorithms," Energy, Elsevier, vol. 302(C).
  31. Li, Chen & Cheng, Yong & Kosonen, Risto & Jokisalo, Juha & Wu, Yuxin & Yuan, Liting & Li, Xinyi & Liu, Hong & Li, Baizhan, 2025. "Demand response control of heating system in office building based on adapted neutral temperature in hot summer and cold winter climate zone of China," Energy, Elsevier, vol. 332(C).
  32. Xie, Lingyun & Shan, Kui & Wang, Shengwei, 2025. "A generic framework and strategies for integrating AI into building automation systems for field-level optimization of HVAC systems," Energy, Elsevier, vol. 333(C).
  33. Tang, Lingfeng & Xie, Haipeng & Wang, Yongguan & Xu, Zhanbo, 2025. "Deeply flexible commercial building HVAC system control: A physics-aware deep learning-embedded MPC approach," Applied Energy, Elsevier, vol. 388(C).
  34. Amasyali, Kadir & El-Gohary, Nora M., 2021. "Real data-driven occupant-behavior optimization for reduced energy consumption and improved comfort," Applied Energy, Elsevier, vol. 302(C).
  35. Xiao, Tianqi & You, Fengqi, 2023. "Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization," Applied Energy, Elsevier, vol. 342(C).
  36. Wang, Ziyang & Matsuhashi, Ryuji & Onodera, Hiroshi, 2023. "Intrusive and non-intrusive early warning systems for thermal discomfort by analysis of body surface temperature," Applied Energy, Elsevier, vol. 329(C).
  37. Wang, Xuezheng & Dong, Bing, 2024. "Long-term experimental evaluation and comparison of advanced controls for HVAC systems," Applied Energy, Elsevier, vol. 371(C).
  38. Yang, Shiyu & Wan, Man Pun, 2022. "Machine-learning-based model predictive control with instantaneous linearization – A case study on an air-conditioning and mechanical ventilation system," Applied Energy, Elsevier, vol. 306(PB).
  39. Hu, Guoqing & Kubota, Chieri & You, Fengqi, 2025. "Cyber physical biological system in controlled environment agriculture for energy optimization: A comprehensive overview, key challenges, and future outlook," Energy, Elsevier, vol. 325(C).
  40. Ruixin Lv & Zhongyuan Yuan & Bo Lei & Jiacheng Zheng & Xiujing Luo, 2021. "Model Predictive Control with Adaptive Building Model for Heating Using the Hybrid Air-Conditioning System in a Railway Station," Energies, MDPI, vol. 14(7), pages 1-22, April.
  41. Elissaios Sarmas & Vangelis Marinakis & Haris Doukas, 2022. "A data-driven multicriteria decision making tool for assessing investments in energy efficiency," Operational Research, Springer, vol. 22(5), pages 5597-5616, November.
  42. Li, Xiaoming & Wu, Yingjie & Yu, Xinghuo, 2025. "Robust model predictive control of condensate throttling in an ultra-supercritical plant for frequency supports of power systems with high renewable share," Energy, Elsevier, vol. 332(C).
  43. Angizeh, Farhad & Ghofrani, Ali & Zaidan, Esmat & Jafari, Mohsen A., 2022. "Adaptable scheduling of smart building communities with thermal mapping and demand flexibility," Applied Energy, Elsevier, vol. 310(C).
  44. Dalia Mohammed Talat Ebrahim Ali & Violeta Motuzienė & Rasa Džiugaitė-Tumėnienė, 2024. "AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings," Energies, MDPI, vol. 17(17), pages 1-35, August.
  45. Yang, Shiyu & Wan, Man Pun & Ng, Bing Feng & Dubey, Swapnil & Henze, Gregor P. & Chen, Wanyu & Baskaran, Krishnamoorthy, 2021. "Model predictive control for integrated control of air-conditioning and mechanical ventilation, lighting and shading systems," Applied Energy, Elsevier, vol. 297(C).
  46. Neshat, Mehdi & Thilakaratne, Menasha & El-Abd, Mohammed & Mirjalili, Seyedali & Gandomi, Amir H. & Boland, John, 2025. "Smart buildings energy consumption forecasting using adaptive evolutionary bagging extra tree learning models," Energy, Elsevier, vol. 333(C).
  47. V. S. K. V. Harish & Arun Kumar & Tabish Alam & Paolo Blecich, 2021. "Assessment of State-Space Building Energy System Models in Terms of Stability and Controllability," Sustainability, MDPI, vol. 13(21), pages 1-26, October.
  48. Xiao, Tianqi & You, Fengqi, 2024. "Physically consistent deep learning-based day-ahead energy dispatching and thermal comfort control for grid-interactive communities," Applied Energy, Elsevier, vol. 353(PB).
  49. Wald, Dylan & King, Jennifer & Bay, Christopher J. & Chintala, Rohit & Johnson, Kathryn, 2022. "Integration of distributed controllers: Power reference tracking through charging station and building coordination," Applied Energy, Elsevier, vol. 314(C).
  50. Wang, Zihao & Yu, Donghan & Wu, Zhe, 2025. "Real-time machine-learning-based optimization using Input Convex Long Short-Term Memory network," Applied Energy, Elsevier, vol. 377(PB).
  51. Hua, Pengmin & Wang, Haichao & Xie, Zichan & Lahdelma, Risto, 2024. "Multi-criteria evaluation of novel multi-objective model predictive control method for indoor thermal comfort," Energy, Elsevier, vol. 289(C).
  52. van der Meer, Dennis & Wang, Guang Chao & Munkhammar, Joakim, 2021. "An alternative optimal strategy for stochastic model predictive control of a residential battery energy management system with solar photovoltaic," Applied Energy, Elsevier, vol. 283(C).
  53. Nastro, Francesco & Sorrentino, Marco & Trifirò, Alena, 2022. "A machine learning approach based on neural networks for energy diagnosis of telecommunication sites," Energy, Elsevier, vol. 245(C).
  54. Khaled Almazam & Omar Humaidan & Nahla M. Shannan & Faizah Mohammed Bashir & Taha Gammoudi & Yakubu Aminu Dodo, 2025. "Innovative Energy Efficiency in HVAC Systems with an Integrated Machine Learning and Model Predictive Control Technique: A Prospective Toward Sustainable Buildings," Sustainability, MDPI, vol. 17(7), pages 1-35, March.
  55. Nicola Lolli & Evgenia Gorantonaki & John Clauß, 2024. "Predictive Heating Control and Perceived Thermal Comfort in a Norwegian Office Building," Energies, MDPI, vol. 17(15), pages 1-23, July.
  56. Dai, Mingkun & Li, Hangxin & Wang, Shengwei, 2025. "Cooling management and control of buildings for unlocking demand flexibility: A comprehensive review on the objectives, objects and methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
  57. Schreiber, Thomas & Netsch, Christoph & Eschweiler, Sören & Wang, Tianyuan & Storek, Thomas & Baranski, Marc & Müller, Dirk, 2021. "Application of data-driven methods for energy system modelling demonstrated on an adaptive cooling supply system," Energy, Elsevier, vol. 230(C).
  58. Qing Yin & Chunmiao Han & Ailin Li & Xiao Liu & Ying Liu, 2024. "A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks," Sustainability, MDPI, vol. 16(17), pages 1-30, September.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.