Energy Optimization Technologies in Smart Homes

Sam Moayedi, Ahmad Almaghrebi, Jan Haase, Hiroaki Nishi, Gerhard Zucker, Nasser Aljuhaishi, Mahmoud Alahmad

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

1 Citation (Scopus)

Abstract

Energy optimization in the built environment is receiving more attention in the last decade. This leads to remarkable technological advancements in energy monitoring, data communication, energy storage, control, and data analysis applications. Energy monitoring can be aggregate (Non-Intrusive load monitoring -NILM) or disaggregate (Intrusive load monitoring -ILM) based on the location in which the monitoring takes place. Sensors communicate via wired or wireless means, and several protocols are developed to support communications in smart homes. This real-time data can be sent to remote controllers for further analysis, training and prediction applications using Internet of Things (IoT) that provides a cost-effective solution for energy management systems. This manuscript presents an overview of current innovation in smart homes for the advancement of building technology.

Original languageEnglish
Title of host publicationProceedings - IECON 2020
Subtitle of host publication46th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages1974-1979
Number of pages6
ISBN (Electronic)9781728154145
DOIs
Publication statusPublished - 2020 Oct 18
Externally publishedYes
Event46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore
Duration: 2020 Oct 192020 Oct 21

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2020-October

Conference

Conference46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Country/TerritorySingapore
CityVirtual, Singapore
Period20/10/1920/10/21

Keywords

  • Energy management
  • Energy-storage
  • ILM
  • IoT
  • Machine learning
  • NILM
  • STDR
  • Smart buildings

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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