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Situation-based Energy Management System

Authors:
Seung-Won Lee
Se Heon Choi
Minkyung Cho
Jungsu Lee

Keywords: situation; context; energy; Bayesian Networks

Abstract:
Energy related technology such as Smart Grid has become one of the main interests in modern industry. Deciding whether to supply or store energy by predicting the amount of energy consumption rate is the core technology in Smart Gird. In this paper, we present a situation-based prediction (SBP) system that not only utilizes user’s usage history data but also makes use of the user’s situation that is derived from various sensor data. According to our experiment, situation-based prediction system has about four times better performance compared to the time-based prediction system which solely relies on user’s usage history.

Pages: 36 to 39

Copyright: Copyright (c) IARIA, 2011

Publication date: October 23, 2011

Published in: conference

ISSN: 2308-3468

ISBN: 978-1-61208-164-9

Location: Barcelona, Spain

Dates: from October 23, 2011 to October 29, 2011