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A low complexity residential demand response strategy using binary particle swarm optimization
conference contribution
posted on 2012-01-01, 00:00 authored by S Azad, Aman Maung Than Oo, F IslamA low complexity residential demand response strategy using binary particle swarm optimization
History
Pagination
1-6Location
Denpasar, BaliStart date
2012-09-26End date
2012-09-29ISBN-13
9789791884723ISBN-10
9791884722Language
engNotes
Article number : 6360222; Ready for Permission CheckPublication classification
E1.1 Full written paper - refereedTitle of proceedings
AUPEC 2012 : Green smart grid systems : Proceedings of the Australasian Universities Power Engineering 2012 ConferenceEvent
Australasian Universities Power Engineering. Conference (22nd : 2012 : Denpasar, Bali)Publisher
IEEEPlace of publication
Piscataway, N.J.Publication URL
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demand managementenergy costbinary particle swarm optimizationpeak shaving090699 Electrical and Electronic Engineering not elsewhere classified090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)090607 Power and Energy Systems Engineering (excl Renewable Power)850604 Energy Transmission and Distribution (excl. Hydrogen)
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