Dynamic load profiling for the market: an innovation leveraging the widespread deployment of Linky smart meters

Load Profiling allows to determine, through sampling, the consumption (or generation) of electricity by customer category, without the widespread collection of Linky load curves and with a very favourable cost/benefit ratio. This data service from Enedis is essential to operations of the market, as it enables electricity flows to be allocated by quarter-hour and by market player (Balance Responsible Party) for the purpose of billing system balancing costs (balancing is essential to the stability of the grid). In July 2024, the Enedis profiling model completed its transformation, which began in mid-2018, towards a "dynamic" mode. This paper presents the dynamic profiling model implemented by Enedis, the data used (from smart meters), and the performance achieved.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.1940
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
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article

Dynamic load profiling for the market: an innovation leveraging the widespread deployment of Linky smart meters

Sébastien Thaon, Olivier Chaouy
IET conference proceedings.
Smart Grid Energy Management
article

Dynamic load profiling for the market: an innovation leveraging the widespread deployment of Linky smart meters

Sébastien Thaon, Olivier Chaouy
article en

Abstract

Load Profiling allows to determine, through sampling, the consumption (or generation) of electricity by customer category, without the widespread collection of Linky load curves and with a very favourable cost/benefit ratio. This data service from Enedis is essential to operations of the market, as it enables electricity flows to be allocated by quarter-hour and by market player (Balance Responsible Party) for the purpose of billing system balancing costs (balancing is essential to the stability of the grid). In July 2024, the Enedis profiling model completed its transformation, which began in mid-2018, towards a "dynamic" mode. This paper presents the dynamic profiling model implemented by Enedis, the data used (from smart meters), and the performance achieved.

IET conference proceedings.Vol. 2025(14)
Ministère des Armées (FR)
Openalex Percentile: Top 71%
Smart Grid Energy Management
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