2016 IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS - 20TH IEEE ISCE
|
2016年
关键词:
GA;
Demand Response;
Load Scheduling;
Smart Grid;
Mobile Application;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
This article aims to present a mobile application to remotely optimize the use of household appliances in ahorne based on the dynamic variation of electricity price throughout the day. The customer defines the limits of hourly consumption and the use time interval of each appliance throughout the day in the mobile application, and it communicates with Matlab software installed on a computer to perform the scheduling optimization through a genetic algorithm.