By Topic

Home energy management system for the residential load control based on the price prediction

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Danping Ren ; Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China ; Hui Li ; Yuefeng Ji

This paper describes a home energy management system (HEMS) for the residential load control based on the price prediction. Smart metering and two-way communication based on the home area network can provide detail information of energy consumption patterns and controlling to appliances at home. The HEMS consists of the prices prediction, load scheduler and energy consumption monitor. The electricity pricing models are discussed to provide the price prediction capability. Then, the load scheduler is used to control the residential load with an aim at reducing the total energy cost. In addition, the smart meter and smart switchers are utilized to collect and monitor the energy consumption in the house. At last, a test-bed is constructed and the experiment results show that the HEMS based on the price prediction reduces the daily electricity expenditures by 22.2% as well as the peak-to-average-radio (PAR) by 35.5% in the load demand.

Published in:

Online Conference on Green Communications (GreenCom), 2011 IEEE

Date of Conference:

26-29 Sept. 2011