Efficient predictive demand response using laguerre functions


Autoria(s): Mc Namara, Paul; McLoone, Sean
Data(s)

01/12/2013

Resumo

<p>Predictive Demand Response (DR) algorithms allow schedulable loads in power systems to be shifted to off-peak times. However, the size of the optimisation problems associated with predictive DR can grow very large and so efficient implementations of algorithms are desirable. In this paper Laguerre functions are used to significantly reduce the size of the optimisation needed to implement predictive DR, thus significantly increasing the efficiency of the implementation. © 2013 IEEE.</p>

Identificador

http://pure.qub.ac.uk/portal/en/publications/efficient-predictive-demand-response-using-laguerre-functions(944274ea-5904-44bb-8d12-14fa5985f938).html

http://dx.doi.org/10.1109/PESMG.2013.6672963

http://www.scopus.com/inward/record.url?scp=84893161175&partnerID=8YFLogxK

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Mc Namara , P & McLoone , S 2013 , Efficient predictive demand response using laguerre functions . in IEEE Power and Energy Society General Meeting . , 6672963 , 2013 IEEE Power and Energy Society General Meeting, PES 2013 , Vancouver , Canada , 21-25 July . DOI: 10.1109/PESMG.2013.6672963

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/2100/2102 #Energy Engineering and Power Technology #/dk/atira/pure/subjectarea/asjc/2100/2104 #Nuclear Energy and Engineering #/dk/atira/pure/subjectarea/asjc/2100/2105 #Renewable Energy, Sustainability and the Environment #/dk/atira/pure/subjectarea/asjc/2200/2208 #Electrical and Electronic Engineering
Tipo

contributionToPeriodical