An EMD-ANN based prediction methodology for DR driven smart household load demand

A. Tascikaraoglu, N.G. Paterakis, J.P.S. Catalaõ, O. Erdinç, A.G. Bakirtzis

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)

Samenvatting

This study proposes a model for the prediction of smart household load demand influenced by a dynamic pricing demand response (DR) program. Price-based DR programs have a considerable impact on household demand pattern due to the expected choice of customers or their home energy management systems (HEMSs) to use more energy in low price periods in order to reduce their electricity procurement cost. Many studies in the literature have dealt with power prediction, but the authors are prior in the field attempting to include the impact of different DR strategies on load demand prediction of smart households. The proposed methodology is expected to be valuable for utilities, retailers, aggregators, etc., in order to evaluate the success of their price-based DR strategies and predict adverse effects such as power peaks in normally off-peak periods and stress of infrastructure.

Originele taal-2Engels
Titel2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1-6
Aantal pagina's6
ISBN van elektronische versie978-1-5090-0191-0
DOI's
StatusGepubliceerd - 10 nov. 2015
Evenement18th International Conference on Intelligent System Application to Power Systems (ISAP 2015) - Porto, Portugal
Duur: 11 sep. 201517 sep. 2015
Congresnummer: 18

Congres

Congres18th International Conference on Intelligent System Application to Power Systems (ISAP 2015)
Verkorte titelISAP 2015
Land/RegioPortugal
StadPorto
Periode11/09/1517/09/15

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