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
收藏
页码：342 / 348
页数：7
相关论文
共 50 条
  • [21] Integer-free Optimal Scheduling of Smart Appliances
    Petzke, Felix
    Streif, Stefan
    [J]. 2018 EUROPEAN CONTROL CONFERENCE (ECC), 2018, : 64 - 69
  • [22] Optimal scheduling of household appliances for smart home energy management considering demand response
    Lu, Xinhui
    Zhou, Kaile
    Chan, Felix T. S.
    Yang, Shanlin
    [J]. NATURAL HAZARDS, 2017, 88 (03) : 1639 - 1653
  • [23] Optimal scheduling of household appliances for smart home energy management considering demand response
    Xinhui Lu
    Kaile Zhou
    Felix T. S. Chan
    Shanlin Yang
    [J]. Natural Hazards, 2017, 88 : 1639 - 1653
  • [24] Robust Energy Scheduling of Interconnected Smart Homes with Shared Energy Storage under Quadratic Pricing
    Hosseini, Seyed Mohsen
    Carli, Raffaele
    Dotoli, Mariagrazia
    [J]. 2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2019, : 966 - 971
  • [25] Cooperative Distributed Control for the Energy Scheduling of Smart Homes with Shared Energy Storage and Renewable Energy Source
    Carli, Raffaele
    Dotoli, Mariagrazia
    [J]. IFAC PAPERSONLINE, 2017, 50 (01): : 8867 - 8872
  • [26] Trust aware energy management system for smart homes appliances
    Qureshi, Kashif Naseer
    Alhudhaif, Adi
    Hussain, Adil
    Iqbal, Saleem
    Jeon, Gwanggil
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 97
  • [27] Analysis of Optimal Energy Management in Smart Homes Using MPC
    Sundstrom, Christofer
    Jung, Daniel
    Blom, Anders
    [J]. 2016 EUROPEAN CONTROL CONFERENCE (ECC), 2016, : 2066 - 2071
  • [28] Effective Energy Consumption Scheduling in Smart Homes
    Longe, O. M.
    Ouahada, K.
    Rimer, S.
    Zhu, H.
    Ferreira, H. C.
    [J]. PROCEEDINGS OF THE 2015 12TH IEEE AFRICON INTERNATIONAL CONFERENCE - GREEN INNOVATION FOR AFRICAN RENAISSANCE (AFRICON), 2015,
  • [29] Smart Home Appliances Scheduling to Manage Energy Usage
    Alimi, O. A.
    Ouahada, K.
    [J]. 2018 IEEE 7TH INTERNATIONAL CONFERENCE ON ADAPTIVE SCIENCE & TECHNOLOGY (IEEE ICAST), 2018,
  • [30] Optimal appliances scheduling for demand response strategy in smart home
    Khemakhem, Siwar
    Rekik, Mouna
    Krichen, Lotfi
    [J]. 2017 18TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA), 2017, : 546 - 550
12345