Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Optimal Models of Home Energy Management System

Authors
Qingzhu Wan, Yalan Chen, Yuan Bian
Corresponding Author
Qingzhu Wan
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.50How to use a DOI?
Keywords
home energy management system, optimal model, load rate, genetic algorithm.
Abstract
Residential sector is a potential field of energy conservation and emission reduction in smart grid. Smart home can reduce electricity cost and carbon emissions by optimal the energy use of household appliances. We bulid day-ahead dispatch schedule models which are minimize electricity cost model and minimize carbon emissions model. In the models, we both combined with the goal of electricity safety. We improved Genetic Algorithm to solve our models. The simulation results show that the models can effectively and safely optimize the home energy management.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.50How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qingzhu Wan
AU  - Yalan Chen
AU  - Yuan Bian
PY  - 2016/12
DA  - 2016/12
TI  - Optimal Models of Home Energy Management System
BT  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.50
DO  - https://doi.org/10.2991/iceeecs-16.2016.50
ID  - Wan2016/12
ER  -