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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
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    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.
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    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.

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