Trends and challenges in smart metering analytics

Khazaei, M. and Stankovic, L. and Stankovic, V.; Sharma, Dinesh, ed. (2019) Trends and challenges in smart metering analytics. In: Review of Business and Technology Research (RBTR). Review of Business and Technology Research, 16 (2). Modern Technology and Management, Inc. USA, MUS, pp. 111-117.

[img] Text (Khazaei-etal-MTMI-2019-Trends-and-challenges-in-smart-metering)
Khazaei_etal_MTMI_2019_Trends_and_challenges_in_smart_metering.pdf
Accepted Author Manuscript
Restricted to Repository staff only until 22 December 2020.
Download (777kB) | Request a copy from the Strathclyde author

    Abstract

    With strong policy support globally, it is expected that the total amount of smart energy meters installed worldwide will reach 780 million by 2020, including 200 million in the EU and 30 Million in the UK alone. Smart metering can improve grid operation and maintenance of distribution networks through load forecasting, improve demand response measures, and enhance end-user experience through accurate billing and appliance-level energy feedback via Non-Intrusive Load Monitoring (NILM). In this paper, we review trends of smart metering applications and challenges in large-scale adoption, and provide case studies to demonstrate application of NILM for meaningful energy feedback.

    Creators(s): Khazaei, M., Stankovic, L. ORCID logoORCID: https://orcid.org/0000-0002-8112-1976 and Stankovic, V. ORCID logoORCID: https://orcid.org/0000-0002-1075-2420; Sharma, Dinesh
    Item type:Book Section
    ID code:71120
    Keywords:smart meter, NILM, clustering, smart grid, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:16 Jan 2020 12:17
    Last modified:23 Aug 2020 02:08
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/71120
    Export data:
    CORE (COnnecting REpositories)