Abstract
Environmental pollution and electrical power shortages are serious issues, especially in Japan recently. Since private households are clearly constitute one of the main energy consumers today, positive effects on the environment can be expected if home energy consumption is reduced. Accordingly, our research purpose is to develop a prototype smart home that can offer “smart” quality of life, QOL, to its residents and reduce both CO2 emissions and energy consumption. An important issue toward achieving this aim is how to show energy-related information to the home’s residents.
As a first step, we perform a preliminary experiment on reducing the numbers of candidates of locations and contents of energy-related information. Next, we perform another experiment to clarify the locations and contents of energy-related information expected to be in demand for display in actual smart homes.
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Bertoldi, P., Atanasiu, B.: Electricity Consumption and Efficiency Trends in European Union. Status Report, Institute for Energy, Joint Research Center - European Commission (2009)
Kofler, M.J., Reinisch, C., Kastner, W.: A semantic representation of energy-related information in future smart homes. Energy and Buildings 47, 169–179 (2012)
Honda “smart home” showcases off-the-grid energy solutions, http://www.gizmag.com/honda-demonstration-smart-home/22328/
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Ito, K., Ohkura, M. (2013). Experimental Study on Display of Energy-Related Information in Smart Homes Using Virtual Reality. In: Streitz, N., Stephanidis, C. (eds) Distributed, Ambient, and Pervasive Interactions. DAPI 2013. Lecture Notes in Computer Science, vol 8028. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39351-8_32
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DOI: https://doi.org/10.1007/978-3-642-39351-8_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39350-1
Online ISBN: 978-3-642-39351-8
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