Towards Smart Meter Energy Analysis and Profiling to Support Low Carbon Emissions

Mutinta Mwansa*, William Hurst, Yuanyuan Shen

*Corresponding author for this work

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

Abstract

Efforts of electrical utilities to respond to climate change require the development of increasingly sophisticated, integrated electrical grids referred to as the “smart grids”. Much of the smart grid effort focuses on integration of renewable generation into the electricity grid and on increased monitoring and automation of electrical transmission functions. However, a key component of smart grid development is the introduction of the smart electrical meter for all residential electrical customers. Smart meter (SM) deployment is the corner stone of the smart grid. In addition to adding new functionality to support system reliability, SMs provide the technological means for utilities to institute new programs to allow their customers to better manage and reduce their electricity use and to support increased renewable generation to reduce greenhouse emissions from electricity use. As such, this paper presents our research towards the study of a smart home environment and how the data produced is used to profile energy usage in homes. The validity of the data is justified through analysis of the profiles generated while consumers use energy during off peak and peak periods. By learning, understanding and feeding patterns of home behaviour, it is possible to educate the consumer regarding their energy usage, helping them to reduce costs but also the emissions from their home.

Original languageEnglish
Title of host publicationApplied Computing to Support Industry
Subtitle of host publicationInnovation and Technology - 1st International Conference, ACRIT 2019, Revised Selected Papers
EditorsMohammed I. Khalaf, Dhiya Al-Jumeily, Alexei Lisitsa
PublisherSpringer
Pages312-322
Number of pages11
ISBN (Print)9783030387518
DOIs
Publication statusPublished - 8 Jan 2020
Externally publishedYes
Event1st International Conference on Applied Computing Research to Support Industry: Innovation and Technology, ACRIT 2019 - Ramadi, Iraq
Duration: 15 Sep 201916 Sep 2019

Publication series

NameCommunications in Computer and Information Science
Volume1174 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference1st International Conference on Applied Computing Research to Support Industry: Innovation and Technology, ACRIT 2019
CountryIraq
CityRamadi
Period15/09/1916/09/19

Keywords

  • Behavioural profiling
  • Carbon emissions
  • Smart meter

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