DocumentCode :
243544
Title :
A Hybrid Device Profile Detection Method and Its Applications
Author :
Yoshida, Norihiro ; Ishikawa, Norito ; Ishibashi, Naoki
Author_Institution :
Fac. of Global Media Studies, Komazawa Univ., Tokyo, Japan
fYear :
2014
fDate :
21-25 July 2014
Firstpage :
558
Lastpage :
560
Abstract :
In this paper, we show a design and implementation of hybrid device profile detection method, and its application to electricity saving. This method provides device detection by hybrid connection among various machine learning methods for time series data of electricity consumption from existing devices. In this paper, target devices are consumer devices. Also, we show an application of this method to electricity saving and others.
Keywords :
energy conservation; learning (artificial intelligence); power engineering computing; time series; consumer devices; electricity consumption; electricity saving; hybrid connection; hybrid device profile detection method; machine learning methods; time series data; Electricity; Energy consumption; Learning systems; Media; Medical services; Peer-to-peer computing; Real-time systems; device detection; hybrid; saving electricity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International
Conference_Location :
Vasteras
Type :
conf
DOI :
10.1109/COMPSACW.2014.93
Filename :
6903189
Link To Document :
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