Abstract
We are developing a novel home network system based upon the integration of information and energy. The system aims to analyze user behavior with a power-sensing network and provide various life-support services to manage power and electric appliances according to user behavior and preferences. This paper describes an electric appliance recognition method using power-sensing data measured by CECU (Communication and Energy Care Unit) which is an intelligent outlet with voltage and current sensors to integrate legacy appliances (which are incompatible with a communications network) with the home network. Furthermore, we demonstrate a prototype home energy management system and examples of services based upon appliance recognition.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Yamazaki, T., Jung, J., Kim, Y.J., Hahn, M., Teng, R., Tan, Y., Matsuyama, T.: Integration of sensor network and energy management system in home and regional community environments. In: Proc. of the 4th International Symposium on Energy, Informatics and Cybernetics (EIC 2008), pp. 276–279 (2008)
Higuchi, M., Morioka, R., Inagaki, K., Togashi, A.: Outline of HAVi. In: PIONEER R&D, vol. 11, pp. 39–49
HAVi, http://www.havi.org/
DLNA Alliance, http://www.dlna.org/jp/industry/
ECHONET CONSORTIUM, http://www.echonet.gr.jp/
ZigBee®Alliance, http://www.zigbee.org/en/index.asp
HD-PLC Alliance, http://hd-plc.org/
Vapnik, V.N.: The Nature of Statistical Learning Theory, 2nd edn. Springer, Heidelberg (1999)
Scholkopf, B., Platt, J.C., Shawe-Taylor, J., Smola, A.J., Williamson, R.C.: Estimating the support of a high-dimensional distribution. Neural Computation (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kato, T., Cho, H.S., Lee, D., Toyomura, T., Yamazaki, T. (2009). Appliance Recognition from Electric Current Signals for Information-Energy Integrated Network in Home Environments. In: Mokhtari, M., Khalil, I., Bauchet, J., Zhang, D., Nugent, C. (eds) Ambient Assistive Health and Wellness Management in the Heart of the City. ICOST 2009. Lecture Notes in Computer Science, vol 5597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02868-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-02868-7_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02867-0
Online ISBN: 978-3-642-02868-7
eBook Packages: Computer ScienceComputer Science (R0)