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Construction of multiband uncertainty set for building energy management with uncertain loads and solar power

Author:
Ping Liu
,
Yong Fu
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/GLOCOM.2014.7037501
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1047358
Keyword(s): Artificial neural networks,Complexity theory,Function approximation,Hysteresis,Kernel,Learning (artificial intelligence),Wireless communication,LTE,MLB,MRO,SON Coordination,SON instances,function approximation,reinforcement learning
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    Construction of multiband uncertainty set for building energy management with uncertain loads and solar power

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contributor authorPing Liu
contributor authorYong Fu
date accessioned2020-03-12T21:23:22Z
date available2020-03-12T21:23:22Z
date issued2014
identifier other6939931.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1047358?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleConstruction of multiband uncertainty set for building energy management with uncertain loads and solar power
typeConference Paper
contenttypeMetadata Only
identifier padid8176480
subject keywordsArtificial neural networks
subject keywordsComplexity theory
subject keywordsFunction approximation
subject keywordsHysteresis
subject keywordsKernel
subject keywordsLearning (artificial intelligence)
subject keywordsWireless communication
subject keywordsLTE
subject keywordsMLB
subject keywordsMRO
subject keywordsSON Coordination
subject keywordsSON instances
subject keywordsfunction approximation
subject keywordsreinforcement learning
identifier doi10.1109/GLOCOM.2014.7037501
journal titleES General Meeting | Conference & Exposition, 2014 IEEE
filesize566068
citations0
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