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A low complexity residential demand response strategy using binary particle swarm optimization

Azad, Salahuddin A., Oo, Amanullah M. T. and Islam, Fakhrul Md. 2012, A low complexity residential demand response strategy using binary particle swarm optimization, in AUPEC 2012 : Green smart grid systems : Proceedings of the Australasian Universities Power Engineering 2012 Conference, IEEE, Piscataway, N.J., pp. 1-6.

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Title A low complexity residential demand response strategy using binary particle swarm optimization
Author(s) Azad, Salahuddin A.
Oo, Amanullah M. T.
Islam, Fakhrul Md.
Conference name Australasian Universities Power Engineering. Conference (22nd : 2012 : Denpasar, Bali)
Conference location Denpasar, Bali
Conference dates 26 - 29 Sep. 2012
Title of proceedings AUPEC 2012 : Green smart grid systems : Proceedings of the Australasian Universities Power Engineering 2012 Conference
Editor(s) [Unknown]
Publication date 2012
Conference series Australasian Universities Power Engineering Conference
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) demand management
energy cost
binary particle swarm optimization
peak shaving
Notes Article number : 6360222; Ready for Permission Check
ISBN 9791884722
9789791884723
Language eng
Field of Research 090607 Power and Energy Systems Engineering (excl Renewable Power)
090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
090699 Electrical and Electronic Engineering not elsewhere classified
Socio Economic Objective 850604 Energy Transmission and Distribution (excl. Hydrogen)
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30056446

Document type: Conference Paper
Collection: School of Engineering
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