Modeling Smart Grid adoption via a social network model

Alex Cassidy, Arye Nehorai

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

7 Scopus citations

Abstract

Smart Grid Technologies are poised to radically transform the way energy is used. Analyses of the workings of smart grid and its effects have been investigated in numerous existing works. Adoption of smart grid, however, has not been. Modeling this adoption poses problems not found in other work on technology adoption, since the behaviors of individual users can affect other users in complex ways. This contrasts with earlier work, where effects between users tend to be strictly positive or strictly negative. In this paper, we introduce a model of smart grid adoption based on social networks. Our model is highly modular and therefore is well-suited to study the effects of each component. We find that for widespread adoption of smart grid demand response technology, utility companies should educate the populace about smart grid, make sure they are releasing it into connected communities, and should not sell non-smart-grid electricity too cheaply.

Original languageEnglish
Title of host publication2014 IEEE PES General Meeting / Conference and Exposition
PublisherIEEE Computer Society
EditionOctober
ISBN (Electronic)9781479964154
DOIs
StatePublished - Oct 29 2014
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

Publication series

NameIEEE Power and Energy Society General Meeting
NumberOctober
Volume2014-October
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2014 IEEE Power and Energy Society General Meeting
Country/TerritoryUnited States
CityNational Harbor
Period07/27/1407/31/14

Keywords

  • Network Theory
  • Power Grids
  • Smart Grids
  • Social Network Services

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