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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5597 LNCS, pp. 150–157). https://doi.org/10.1007/978-3-642-02868-7_19
Mendeley helps you to discover research relevant for your work.