Efficient predictive demand response using laguerre functions

Paul Mc Namara, Sean McLoone

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIEEE Power and Energy Society General Meeting
DOIs
Publication statusPublished - 01 Dec 2013
Event2013 IEEE Power and Energy Society General Meeting, PES 2013 - BC, Vancouver, Canada
Duration: 21 Jul 201325 Jul 2013

Conference

Conference2013 IEEE Power and Energy Society General Meeting, PES 2013
CountryCanada
CityVancouver
Period21/07/201325/07/2013

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Mc Namara, P., & McLoone, S. (2013). Efficient predictive demand response using laguerre functions. In IEEE Power and Energy Society General Meeting [6672963] https://doi.org/10.1109/PESMG.2013.6672963