A user-interactive system for smart thermal environment control in office buildings
Author
Abstract
Suggested Citation
DOI: 10.1016/j.apenergy.2021.117005
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Patil, Anand & Huard, David & Fonnesbeck, Christopher J., 2010. "PyMC: Bayesian Stochastic Modelling in Python," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i04).
- Konstantakopoulos, Ioannis C. & Barkan, Andrew R. & He, Shiying & Veeravalli, Tanya & Liu, Huihan & Spanos, Costas, 2019. "A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure," Applied Energy, Elsevier, vol. 237(C), pages 810-821.
- Zhang, Yixiang & Wang, Zhaohua & Zhou, Guanghui, 2013.
"Antecedents of employee electricity saving behavior in organizations: An empirical study based on norm activation model,"
Energy Policy, Elsevier, vol. 62(C), pages 1120-1127.
- Yixiang Zhang & Zhaohua Wang & Guanghui Zhou, 2011. "Antecedents of employee electricity saving behavior in organizations: An empirical study based on norm activation model," CEEP-BIT Working Papers 25, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Kasperbauer, T.J., 2017. "The permissibility of nudging for sustainable energy consumption," Energy Policy, Elsevier, vol. 111(C), pages 52-57.
- Murtagh, Niamh & Nati, Michele & Headley, William R. & Gatersleben, Birgitta & Gluhak, Alexander & Imran, Muhammad Ali & Uzzell, David, 2013. "Individual energy use and feedback in an office setting: A field trial," Energy Policy, Elsevier, vol. 62(C), pages 717-728.
- Gulbinas, R. & Jain, R.K. & Taylor, J.E., 2014. "BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy," Applied Energy, Elsevier, vol. 136(C), pages 1076-1084.
- Joe, Jaewan & Karava, Panagiota, 2019. "A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings," Applied Energy, Elsevier, vol. 245(C), pages 65-77.
- Obinna, Uchechi & Joore, Peter & Wauben, Linda & Reinders, Angele, 2017. "Comparison of two residential Smart Grid pilots in the Netherlands and in the USA, focusing on energy performance and user experiences," Applied Energy, Elsevier, vol. 191(C), pages 264-275.
- Yang, Shiyu & Wan, Man Pun & Chen, Wanyu & Ng, Bing Feng & Dubey, Swapnil, 2020. "Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization," Applied Energy, Elsevier, vol. 271(C).
- Sila Kiliccote & Daniel Olsen & Michael D. Sohn & Mary Ann Piette, 2016. "Characterization of demand response in the commercial, industrial, and residential sectors in the United States," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(3), pages 288-304, May.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Fu, Chun & Miller, Clayton, 2022. "Using Google Trends as a proxy for occupant behavior to predict building energy consumption," Applied Energy, Elsevier, vol. 310(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Khosrowpour, Ardalan & Jain, Rishee K. & Taylor, John E. & Peschiera, Gabriel & Chen, Jiayu & Gulbinas, Rimas, 2018. "A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation," Applied Energy, Elsevier, vol. 218(C), pages 304-316.
- Antonio Paone & Jean-Philippe Bacher, 2018. "The Impact of Building Occupant Behavior on Energy Efficiency and Methods to Influence It: A Review of the State of the Art," Energies, MDPI, vol. 11(4), pages 1-19, April.
- Khosrowpour, Ardalan & Xie, Yimeng & Taylor, John E. & Hong, Yili, 2016. "One size does not fit all: Establishing the need for targeted eco-feedback," Applied Energy, Elsevier, vol. 184(C), pages 523-530.
- Azar, Elie & Nikolopoulou, Christina & Papadopoulos, Sokratis, 2016. "Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling," Applied Energy, Elsevier, vol. 183(C), pages 926-937.
- Akvile Cibinskiene & Daiva Dumciuviene & Meda Andrijauskiene, 2020. "Energy Consumption in Public Buildings: The Determinants of Occupants’ Behavior," Energies, MDPI, vol. 13(14), pages 1-23, July.
- Faiq Aziz & Nomahaza Mahadi & Rahayu Tasnim & Adriana Mohd Rizal & Shathees Baskaran & Suzilawati Kamarudin & Farzana Quoquab & Jihad Mohammad, 2018. "Linking Emotional Intelligence with Employee ProEnvironmental Behavior," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(2), pages 502-522, February.
- Dimosthenis Kotsopoulos & Cleopatra Bardaki & Thanasis G. Papaioannou, 2023. "Determinants of Employees’ Personal and Collective Energy Consumption and Conservation at Work," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
- Ozawa-Meida, Leticia & Wilson, Caroline & Fleming, Paul & Stuart, Graeme & Holland, Carl, 2017. "Institutional, social and individual behavioural effects of energy feedback in public buildings across eleven European cities," Energy Policy, Elsevier, vol. 110(C), pages 222-233.
- Rafsanjani, Hamed Nabizadeh & Ghahramani, Ali & Nabizadeh, Amir Hossein, 2020. "iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings," Applied Energy, Elsevier, vol. 266(C).
- Faiq Aziz* & Nomahaza Mahadi & Jihad Mohammad, 2018. "Employee Pro-Environmental Behaviour: A Systematic Review and Suggestions for Future Research," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 272-280:2.
- 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).
- Deng, Zhipeng & Wang, Xuezheng & Dong, Bing, 2023. "Quantum computing for future real-time building HVAC controls," Applied Energy, Elsevier, vol. 334(C).
- Zierler, Rupert & Wehrmeyer, Walter & Murphy, Richard, 2017. "The energy efficiency behaviour of individuals in large organisations: A case study of a major UK infrastructure operator," Energy Policy, Elsevier, vol. 104(C), pages 38-49.
- Zhenjiao Chen & Yaqing Liu, 2020. "The Effects of Leadership and Reward Policy on Employees’ Electricity Saving Behaviors: An Empirical Study in China," IJERPH, MDPI, vol. 17(6), pages 1-15, March.
- 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).
- 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).
- 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.
- Bruzzone, Octavio A. & Logarzo, Guillermo A. & Aguirre, María B. & Virla, Eduardo G., 2018. "Intra-host interspecific larval parasitoid competition solved using modelling and bayesian statistics," Ecological Modelling, Elsevier, vol. 385(C), pages 114-123.
- Heesup Han & Myong Jae Lee & Wansoo Kim, 2018. "Antecedents of Green Loyalty in the Cruise Industry: Sustainable Development and Environmental Management," Business Strategy and the Environment, Wiley Blackwell, vol. 27(3), pages 323-335, March.
- Chatzigeorgiou, I.M. & Andreou, G.T., 2021. "A systematic review on feedback research for residential energy behavior change through mobile and web interfaces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
More about this item
Keywords
Bayesian modeling; Occupant behaviour; Human-in-the-loop; User interface;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:298:y:2021:i:c:s0306261921004736. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.