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Register record·API·FR·PUBLIC_UTILITY·Updated QuarterlyVERIFIED · checked 20h ago
A

Segmented aggregates of half-hourly electricity consumption for delivery points > 36kVA – Regional levelAgrégats segmentés de consommation électrique au pas 1/2 h des points de soutirage > 36kVA – Maille régionale

Agrégats segmentés de consommation électrique au pas 1/2 h des points de soutirage > 36kVA – Maille régionaleSegmented aggregates of half-hourly electricity consumption for delivery points > 36kVA – Regional level

APIJoinable5/7Query nowOpen workbenchSubscribe🇫🇷France

This dataset provides half-hourly electricity consumption data for delivery points above 36kVA connected to the Enedis distribution network. It includes withdrawn energy volumes, average load curves for customers equipped with smart meters, and the number of customers. The aggregates are broken down and made available at regional level, covering France. The data is published by Enedis, the French electricity distribution system operator, and can be used to analyze regional electricity demand patterns for larger consumption points connected to the network.Ce jeu de données restitue la consommation d’électricité au pas 1/2h des points de soutirage 36kVA raccordés au réseau Enedis. Il donne les volumes d'énergie soutirés, les courbes de charge moyennes de clients dotés de compteurs communicants et le nombre de clients. Ces agrégats sont disponibl…

waterenergyboundaries
68
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Data schema (16 fields)

Filterable via the API (16)
horodateregioncode_regionprofilplage_de_puissance_souscritesecteur_activitenb_points_soutiragetotal_energie_soutiree_whcourbe_moyenne_ndeg1_whindice_representativite_courbe_ndeg1courbe_moyenne_ndeg2_whindice_representativite_courbe_ndeg2courbe_moyenne_ndeg1_ndeg2_whindice_representativite_courbe_ndeg1_ndeg2jour_max_du_mois_0_1semaine_max_du_mois_0_1

Click a field to see example values.

FieldTypeDescription
horodateFilterable via the APIstring (date-time)Timestamp of the 30-minute consumption period.Timestamp of the 30-minute consumption period.
regionFilterable via the APIstringName of the French administrative region.Name of the French administrative region.
code_regionFilterable via the APIRégion codestringOfficial numeric code of the French region.Official numeric code of the French region.
profilFilterable via the APIstringConsumption profile category of the metering points.Consumption profile category of the metering points.
plage_de_puissance_souscriteFilterable via the APIPlage de puissance souscritestringRange of subscribed power capacity in kVA.Range of subscribed power capacity in kVA.
secteur_activiteFilterable via the APISecteur activitestringEconomic activity sector of the connected customers.Economic activity sector of the connected customers.
nb_points_soutirageFilterable via the APINb points soutirageintegerNumber of metering points included in the aggregate.Number of metering points included in the aggregate.
total_energie_soutiree_whFilterable via the APITotal energie soutiree whnumberTotal electricity withdrawn during the period, in watt-hours.Total electricity withdrawn during the period, in watt-hours.
courbe_moyenne_ndeg1_whFilterable via the APICourbe moyenne ndeg1 whnumberAverage load curve value for customer group 1, in watt-hours.Average load curve value for customer group 1, in watt-hours.
indice_representativite_courbe_ndeg1Filterable via the APIIndice representativite courbe ndeg1stringRepresentativeness index of the load curve for group 1.Representativeness index of the load curve for group 1.
courbe_moyenne_ndeg2_whFilterable via the APICourbe moyenne ndeg2 whnumberAverage load curve value for customer group 2, in watt-hours.Average load curve value for customer group 2, in watt-hours.
indice_representativite_courbe_ndeg2Filterable via the APIIndice representativite courbe ndeg2stringRepresentativeness index of the load curve for group 2.Representativeness index of the load curve for group 2.
courbe_moyenne_ndeg1_ndeg2_whFilterable via the APICourbe moyenne ndeg1 ndeg2 whnumberAverage load curve value combining groups 1 and 2, in watt-hours.Average load curve value combining groups 1 and 2, in watt-hours.
indice_representativite_courbe_ndeg1_ndeg2Filterable via the APIIndice representativite courbe ndeg1 ndeg2stringRepresentativeness index of the combined load curve for groups 1 and 2.Representativeness index of the combined load curve for groups 1 and 2.
jour_max_du_mois_0_1Filterable via the APIJour max du mois 0 1stringFlag indicating whether this is the month's peak consumption day.Flag indicating whether this is the month's peak consumption day.
semaine_max_du_mois_0_1Filterable via the APISemaine max du mois 0 1stringFlag indicating whether this is the month's peak consumption week.Flag indicating whether this is the month's peak consumption week.

Schema captured from datafair 21 days ago.

Query the data

Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.

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Sample data (5 records)

Record 1_score: — · profil: ENT1 (+ ENT2)
{
  "_score": null,
  "profil": "ENT1 (+ ENT2)",
  "region": "Auvergne-Rhône-Alpes",
  "horodate": "2025-06-30T22:00:00Z",
  "code_region": "84",
  "secteur_activite": "S1: Agriculture",
  "nb_points_soutirage": 1746,
  "jour_max_du_mois_0_1": "0",
  "courbe_moyenne_ndeg1_wh": 11552,
  "courbe_moyenne_ndeg2_wh": 6496,
  "semaine_max_du_mois_0_1": "0",
  "total_energie_soutiree_wh": 15727584,
  "plage_de_puissance_souscrite": "P1: ]36-120] kVA",
  "courbe_moyenne_ndeg1_ndeg2_wh": 9024,
  "indice_representativite_courbe_ndeg1": "49",
  "indice_representativite_courbe_ndeg2": "49",
  "indice_representativite_courbe_ndeg1_ndeg2": "99"
}
Record 2_score: — · profil: ENT1 (+ ENT2)
{
  "_score": null,
  "profil": "ENT1 (+ ENT2)",
  "region": "Auvergne-Rhône-Alpes",
  "horodate": "2024-12-31T23:00:00Z",
  "code_region": "84",
  "secteur_activite": "S1: Agriculture",
  "nb_points_soutirage": 1733,
  "jour_max_du_mois_0_1": "0",
  "courbe_moyenne_ndeg1_wh": 3989,
  "courbe_moyenne_ndeg2_wh": 796,
  "semaine_max_du_mois_0_1": "0",
  "total_energie_soutiree_wh": 4151369,
  "plage_de_puissance_souscrite": "P1: ]36-120] kVA",
  "courbe_moyenne_ndeg1_ndeg2_wh": 2395,
  "indice_representativite_courbe_ndeg1": "49",
  "indice_representativite_courbe_ndeg2": "49",
  "indice_representativite_courbe_ndeg1_ndeg2": "99"
}
Record 3_score: — · profil: ENT1 (+ ENT2)
{
  "_score": null,
  "profil": "ENT1 (+ ENT2)",
  "region": "Auvergne-Rhône-Alpes",
  "horodate": "2026-01-01T00:00:00+01:00",
  "code_region": "84",
  "secteur_activite": "S1: Agriculture",
  "nb_points_soutirage": 1742,
  "jour_max_du_mois_0_1": "0",
  "courbe_moyenne_ndeg1_wh": 4373,
  "courbe_moyenne_ndeg2_wh": 759,
  "semaine_max_du_mois_0_1": "0",
  "total_energie_soutiree_wh": 4453250,
  "plage_de_puissance_souscrite": "P1: ]36-120] kVA",
  "courbe_moyenne_ndeg1_ndeg2_wh": 2563,
  "indice_representativite_courbe_ndeg1": "49",
  "indice_representativite_courbe_ndeg2": "49",
  "indice_representativite_courbe_ndeg1_ndeg2": "99"
}
Record 4_score: — · profil: ENT1 (+ ENT2)
{
  "_score": null,
  "profil": "ENT1 (+ ENT2)",
  "region": "Auvergne-Rhône-Alpes",
  "horodate": "2024-06-30T22:00:00Z",
  "code_region": "84",
  "secteur_activite": "S1: Agriculture",
  "nb_points_soutirage": 1739,
  "jour_max_du_mois_0_1": "0",
  "courbe_moyenne_ndeg1_wh": 3222,
  "courbe_moyenne_ndeg2_wh": 2148,
  "semaine_max_du_mois_0_1": "0",
  "total_energie_soutiree_wh": 4680196,
  "plage_de_puissance_souscrite": "P1: ]36-120] kVA",
  "courbe_moyenne_ndeg1_ndeg2_wh": 2686,
  "indice_representativite_courbe_ndeg1": "49",
  "indice_representativite_courbe_ndeg2": "49",
  "indice_representativite_courbe_ndeg1_ndeg2": "99"
}
Record 5_score: — · profil: ENT1 (+ ENT2)
{
  "_score": null,
  "profil": "ENT1 (+ ENT2)",
  "region": "Auvergne-Rhône-Alpes",
  "horodate": "2024-09-30T22:00:00Z",
  "code_region": "84",
  "secteur_activite": "S1: Agriculture",
  "nb_points_soutirage": 1738,
  "jour_max_du_mois_0_1": "0",
  "courbe_moyenne_ndeg1_wh": 3295,
  "courbe_moyenne_ndeg2_wh": 1076,
  "semaine_max_du_mois_0_1": "0",
  "total_energie_soutiree_wh": 3803091,
  "plage_de_puissance_souscrite": "P1: ]36-120] kVA",
  "courbe_moyenne_ndeg1_ndeg2_wh": 2186,
  "indice_representativite_courbe_ndeg1": "49",
  "indice_representativite_courbe_ndeg2": "49",
  "indice_representativite_courbe_ndeg1_ndeg2": "99"
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL
https://opendata.enedis.fr/data-fair/api/v1/datasets/conso-sup36-region/
Format
openapi

License

  • Redistributable
  • Attribution required

Query examples

curl -s 'https://opendata.enedis.fr/data-fair/api/v1/datasets/conso-sup36-region/lines?size=20' -H 'Accept: application/json'

First 20 records of the dataset as JSON.

Full API documentation ↗

Dataset

Volume & freshness

Records
32M
31675056
Update cadence
Quarterly
declared upstream
Last upstream update
3 months ago
2026-05-22

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: datafair

Machine-readable & source

Agrégats segmentés de consommation électrique au pas 1/2 h des points de soutirage > 36kVA – Maille régionale — live verification badge

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