Optimal scheduling in smart homes with energy storage using appliances' super-clustering

被引：1

作者：

Javaid, Sakeena ^{[1
]}

Javaid, Nadeem ^{[1
]}

Javaid, Muhammad Shoaib ^{[2
]}

Javaid, Sehrish ^{[3
]}

Qasim, Umar ^{[4
]}

Khan, Zahoor Ali ^{[5
,6
]}

机构：

[1] COMSATS Inst Informat Technol, Islamabad 44000, Pakistan

[2] Sarhad Univ Sci & Informat Technol, Peshawar 25000, Pakistan

[3] Air Univ, Islamabad 44000, Pakistan

[4] Univ Alberta, Edmonton, AB T6G 2J8, Canada

[5] Dalhousie Univ, Internetworking Program FE, Halifax, NS B3J 4R2, Canada

[6] Higher Coll Technol, CIS, Fujairah Campus, Abu Dhabi 4114, U Arab Emirates

来源：

2016 10TH INTERNATIONAL CONFERENCE ON INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING (IMIS) | 2016年

关键词：

Smart Grid; Superclustering; Appliance Scheduling; Energy Storage; GA; DEMAND RESPONSE;

D O I：

10.1109/IMIS.2016.130

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Home Energy Management System (HEMS) enhances the load scheduling in the next-generation electric grid. Residential users send responses to utilities for scheduling their appliances to the off peak hours when prices are low. The scheduling of the household appliances still not succeeded too much by having some drawbacks. In this research, we have proposed a new algorithm namely GASC for scheduling by using superclustering of appliances and their working timing hours. This algorithm is developed by using the GA for appliance clustering and scheduling. It is validated by the simulations which were conducted for this procedure.

引用

页码：342 / 348

页数：7

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