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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)978-1-5090-0191-0
DOIs
Publication statusPublished - 10 Nov 2015
Event18th International Conference on Intelligent System Application to Power Systems (ISAP 2015) - Porto, Portugal
Duration: 11 Sep 201517 Sep 2015
Conference number: 18

Conference

Conference18th International Conference on Intelligent System Application to Power Systems (ISAP 2015)
Abbreviated titleISAP 2015
Country/TerritoryPortugal
CityPorto
Period11/09/1517/09/15

Keywords

  • demand response
  • home energy management system
  • power prediction
  • smart households

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