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