IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i8p624-d75593.html
   My bibliography  Save this article

Activity-Aware Energy-Efficient Automation of Smart Buildings

Author

Listed:
  • Brian L. Thomas

    (School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99163, USA)

  • Diane J. Cook

    (School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99163, USA)

Abstract

This paper introduces the idea of activity-aware cyber-physical systems (CPS). Activity-aware systems allow smart city services to adapt to the needs of individual residents by being sensitive to their daily tasks. The paper first defines activity recognition and activity prediction algorithms that form the foundation of activity-aware CPS and implement a prototype activity-aware building automation system, called CASAS activity aware resource learning (CARL). Evaluation of CARL on real sensor data shows not only an accurate ability to sense and predict activities but an effective means of automation buildings that reduces energy consumption while being sensitive to user activities in the building. Our ideas are demonstrated in the context of a smart home but can be utilized in a variety of smart city settings including smart offices, smart hospitals, and smart communities.

Suggested Citation

  • Brian L. Thomas & Diane J. Cook, 2016. "Activity-Aware Energy-Efficient Automation of Smart Buildings," Energies, MDPI, vol. 9(8), pages 1-17, August.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:624-:d:75593
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/8/624/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/9/8/624/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    2. Hunt Allcott & Todd Rogers, 2014. "The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation," American Economic Review, American Economic Association, vol. 104(10), pages 3003-3037, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Byeongkwan Kang & Kyuhee Jang & Sounghoan Park & Myeong-in Choi & Sehyun Park, 2018. "Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home," Sustainability, MDPI, vol. 10(1), pages 1-16, January.
    2. Francesca Marcello & Virginia Pilloni & Daniele Giusto, 2019. "Sensor-Based Early Activity Recognition Inside Buildings to Support Energy and Comfort Management Systems," Energies, MDPI, vol. 12(13), pages 1-18, July.
    3. Ahmed WA Hammad & Ali Akbarnezhad & Assed Haddad & Elaine Garrido Vazquez, 2019. "Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities," Energies, MDPI, vol. 12(7), pages 1-23, April.
    4. Danish Mahmood & Nadeem Javaid & Sheraz Ahmed & Imran Ahmed & Iftikhar Azim Niaz & Wadood Abdul & Sanaa Ghouzali, 2017. "Orchestrating an Effective Formulation to Investigate the Impact of EMSs (Energy Management Systems) for Residential Units Prior to Installation," Energies, MDPI, vol. 10(3), pages 1-25, March.
    5. Augustine Ikpehai & Bamidele Adebisi & Khaled M. Rabie & Russell Haggar & Mike Baker, 2016. "Experimental Study of 6LoPLC for Home Energy Management Systems," Energies, MDPI, vol. 9(12), pages 1-19, December.

    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.
    1. Chaudhuri, Kausik & Huaccha, Gissell, 2023. "Who bears the energy cost? Local income deprivation and the household energy efficiency gap," Energy Economics, Elsevier, vol. 127(PA).
    2. Heesen, Florian & Madlener, Reinhard, 2021. "Revisiting heat energy consumption modeling: Household production theory applied to field experimental data," Energy Policy, Elsevier, vol. 158(C).
    3. Brewer, Dylan, 2023. "Household responses to winter heating costs: Implications for energy pricing policies and demand-side alternatives," Energy Policy, Elsevier, vol. 177(C).
    4. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    5. 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).
    6. Dorothee Charlier and Sondes Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    7. Omar Shafqat & Elena Malakhtka & Nina Chrobot & Per Lundqvist, 2021. "End Use Energy Services Framework Co-Creation with Multiple Stakeholders—A Living Lab-Based Case Study," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    8. Syed Hasan & Odmaa Narantungalag, & Martin Berka, 2022. "The intended and unintended consequences of large electricity subsidies: evidence from Mongolia," Discussion Papers 2202, School of Economics and Finance, Massey University, New Zealand.
    9. ITO Koichiro & IDA Takanori & TANAKA Makoto, 2015. "The Persistence of Moral Suasion and Economic Incentives: Field experimental evidence from energy demand," Discussion papers 15014, Research Institute of Economy, Trade and Industry (RIETI).
    10. Frédéric Gonand, 2016. "The Carbon Tax, Ageing and Pension Deficits," Post-Print hal-01251698, HAL.
    11. Falco, Paolo & Zaccagni, Sarah, 2020. "Promoting social distancing in a pandemic: Beyond the good intentions," OSF Preprints a2nys, Center for Open Science.
    12. Estiri, Hossein, 2014. "Building and household X-factors and energy consumption at the residential sector," Energy Economics, Elsevier, vol. 43(C), pages 178-184.
    13. Céline Nauges & Dale Whittington, 2019. "Social Norms Information Treatments in the Municipal Water Supply Sector: Some New Insights on Benefits and Costs," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 1-40, July.
    14. Joshua Henkel & Georg Schwesinger, 2020. "Establishing Sustainable Consumption - How Future Policies Can Channel Consumer Preferences," Bremen Papers on Economics & Innovation 2007, University of Bremen, Faculty of Business Studies and Economics.
    15. Cattaneo, Cristina & D’Adda, Giovanna & Tavoni, Massimo & Bonan, Jacopo, 2019. "Can We Make Social Information Programs More Effective? The Role of Identity and Values," RFF Working Paper Series 19-21, Resources for the Future.
    16. Helena Fornwagner & Oliver P. Hauser, 2022. "Climate Action for (My) Children," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(1), pages 95-130, January.
    17. Schröder, Carsten & Rehdanz, Katrin & Narita, Daiju & Okubo, Toshihiro, 2013. "Household formation and residential energy demand: Evidence from Japan," Kiel Working Papers 1836, Kiel Institute for the World Economy (IfW Kiel).
    18. Phu Nguyen-Van & Anne Stenger & Tuyen Tiet, 2021. "Social incentive factors in interventions promoting sustainable behaviors: A meta-analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-27, December.
    19. Brülisauer, Marcel & Goette, Lorenz & Jiang, Zhengyi & Schmitz, Jan & Schubert, Renate, 2020. "Appliance-specific feedback and social comparisons: Evidence from a field experiment on energy conservation," Energy Policy, Elsevier, vol. 145(C).
    20. Curtis, John & Pentecost, Anne, 2015. "Household fuel expenditure and residential building energy efficiency ratings in Ireland," Energy Policy, Elsevier, vol. 76(C), pages 57-65.

    Corrections

    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:gam:jeners:v:9:y:2016:i:8:p:624-:d:75593. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.