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A review of distribution network applications based on smart meter data analytics

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  • Athanasiadis, C.L.
  • Papadopoulos, T.A.
  • Kryonidis, G.C.
  • Doukas, D.I.

Abstract

The large-scale roll-out of smart meters allows the collection of a vast amount of fine-grained electricity consumption data. Once analyzed, such data can enable cutting-edge data-driven services to enhance power systems efficiency and sustainability. In this work, a comprehensive literature overview of the state-of-the-art distribution network-oriented applications employing smart meter data is conducted and potential areas for future research are identified. The most recent innovations are outlined and discussed with an emphasis on six key areas, namely load forecasting, non-technical losses, asset management, power system planning, topology identification, and power system operational analysis. It is anticipated that energy retailers, service providers and distribution system operators would find the taxonomy and related applications, as assessed and presented in this study, helpful in identifying emerging technology trends regarding smart meter data analytics.

Suggested Citation

  • Athanasiadis, C.L. & Papadopoulos, T.A. & Kryonidis, G.C. & Doukas, D.I., 2024. "A review of distribution network applications based on smart meter data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:rensus:v:191:y:2024:i:c:s1364032123010092
    DOI: 10.1016/j.rser.2023.114151
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