[Courbes de charge fictives expérimentales] Caractéristiques des courbes
Ce jeu de données est expérimental. Il présente des caractéristiques de courbes de charge créées avec un modèle génératif GAN (Generative Adversarial Network). L'utilisateur s’engage à respecter les Conditions Générales d’Utilisation, accessibles à l’adresse https://opendata.enedis.fr/terms-of-ser…
Trust score
How is this computed?Composite of 5 axes from our methodology (proof-based officialness, live verification, metadata completeness, license clarity, agent readiness).
- Officialnessweight 25%40/100
40/100 from 5 proof signals (domain / portal-backlink / GitHub-org / reciprocal / policy).
- Availabilityweight 25%100/100
Latest verification succeeded.
- Metadata completenessweight 20%90/100
9 of 10 recommended metadata fields populated.
- License clarityweight 15%0/100
No license declared upstream.
- Agent readinessweight 15%85/100
OpenAPI spec URL declared · Spec format known (openapi) · Docs URL present · Homepage URL present · Topic tags assigned
Official Proof
Public Sector APIProof Evidence
40% - Official domain (data.gouv.fr)
Data schema (18 fields)
| Field | Type | Description |
|---|---|---|
| id | string | — |
| profil | string | — |
| plage_ps | string | — |
| consommation_annuelle_en_kwh | number | — |
| deciles_consommation_annuelle_kwhDéciles Consommation annuelle kWh | string | — |
| ratio_ete_hiver | number | — |
| deciles_ratio_ete_hiverDéciles_RATIO_ETE_HIVER | string | — |
| ratio_18h_20hjournee | number | — |
| deciles_ratio_18h_20hjourneeDéciles_RATIO_18h_20h/JOURNEE | string | — |
| ratio_12h_16hjournee | number | — |
| deciles_ratio_12h_16hjourneeDéciles_RATIO_12h_16h/JOURNEE | string | — |
| ratio_8h_11hjournee | number | — |
| deciles_ratio_8h_11hjourneeDéciles_RATIO_8h_11h/JOURNEE | string | — |
| ratio_weekendsemaine | number | — |
| deciles_ratio_weekendsemaineDéciles_RATIO_WEEK-END/SEMAINE | string | — |
| _idIdentifiant | string (uri-reference) | Identifiant unique parmi toutes les lignes du jeu de données |
| _iNuméro de ligne | integer | Indice de la ligne dans le fichier d'origine |
| _randNombre aléatoire | integer | Un nombre aléatoire associé à la ligne qui permet d'obtenir un tri aléatoire par exemple |
Schema captured from datafair 1 day ago.
Sample data (5 records)
Record 1_i: 1 · id: 100592840581
{
"_i": 1,
"id": "100592840581",
"_id": "__tpULjkPele2FlW8j3zC",
"_rand": 989990,
"_score": null,
"profil": "PRO2",
"plage_ps": "]6-12 kVA]",
"ratio_ete_hiver": 0.8084954561651188,
"ratio_8h_11hjournee": 0.8157682222165514,
"ratio_12h_16hjournee": 0.791436057096823,
"ratio_18h_20hjournee": 0.8376640824888864,
"ratio_weekendsemaine": 1.008667094939823,
"deciles_ratio_ete_hiver": "60-70",
"deciles_ratio_8h_11hjournee": "10-20",
"consommation_annuelle_en_kwh": 4259.602,
"deciles_ratio_12h_16hjournee": "10-20",
"deciles_ratio_18h_20hjournee": "10-20",
"deciles_ratio_weekendsemaine": "70-80",
"deciles_consommation_annuelle_kwh": "20-30"
}Record 2_i: 2 · id: 101385043430
{
"_i": 2,
"id": "101385043430",
"_id": "km5_nclCwmu0cKSC-PYk5",
"_rand": 678059,
"_score": null,
"profil": "PRO2",
"plage_ps": "]6-12 kVA]",
"ratio_ete_hiver": 0.5755034550300203,
"ratio_8h_11hjournee": 1.037093013380084,
"ratio_12h_16hjournee": 1.068271199330595,
"ratio_18h_20hjournee": 1.073961148119529,
"ratio_weekendsemaine": 1.003116727395352,
"deciles_ratio_ete_hiver": "40-50",
"deciles_ratio_8h_11hjournee": "50-60",
"consommation_annuelle_en_kwh": 24994.67,
"deciles_ratio_12h_16hjournee": "60-70",
"deciles_ratio_18h_20hjournee": "70-80",
"deciles_ratio_weekendsemaine": "60-70",
"deciles_consommation_annuelle_kwh": "80-90"
}Record 3_i: 3 · id: 103233250239
{
"_i": 3,
"id": "103233250239",
"_id": "0yrkCcpoo5Jc8q-nnGsIE",
"_rand": 452432,
"_score": null,
"profil": "PRO2",
"plage_ps": "]6-12 kVA]",
"ratio_ete_hiver": 0.6944894964761702,
"ratio_8h_11hjournee": 0.9590459865149286,
"ratio_12h_16hjournee": 1.017007626264435,
"ratio_18h_20hjournee": 0.8616479737227669,
"ratio_weekendsemaine": 1.021297983821412,
"deciles_ratio_ete_hiver": "50-60",
"deciles_ratio_8h_11hjournee": "20-30",
"consommation_annuelle_en_kwh": 9959.57,
"deciles_ratio_12h_16hjournee": "40-50",
"deciles_ratio_18h_20hjournee": "10-20",
"deciles_ratio_weekendsemaine": "70-80",
"deciles_consommation_annuelle_kwh": "50-60"
}Record 4_i: 4 · id: 104477099425
{
"_i": 4,
"id": "104477099425",
"_id": "283qBNACV10S3r1Xx4eJI",
"_rand": 351032,
"_score": null,
"profil": "PRO2",
"plage_ps": "]6-12 kVA]",
"ratio_ete_hiver": 16.41036868282104,
"ratio_8h_11hjournee": 0.9156192990572579,
"ratio_12h_16hjournee": 0.9991453106527529,
"ratio_18h_20hjournee": 0.9069734222290013,
"ratio_weekendsemaine": 1.00301477654245,
"deciles_ratio_ete_hiver": "90-100",
"deciles_ratio_8h_11hjournee": "20-30",
"consommation_annuelle_en_kwh": 10205.788,
"deciles_ratio_12h_16hjournee": "40-50",
"deciles_ratio_18h_20hjournee": "20-30",
"deciles_ratio_weekendsemaine": "60-70",
"deciles_consommation_annuelle_kwh": "50-60"
}Record 5_i: 5 · id: 10513415323
{
"_i": 5,
"id": "10513415323",
"_id": "9aB1BXjxTIOoPWx6qh1ry",
"_rand": 218507,
"_score": null,
"profil": "PRO2",
"plage_ps": "]6-12 kVA]",
"ratio_ete_hiver": 0.2823542102696466,
"ratio_8h_11hjournee": 1.028084827891503,
"ratio_12h_16hjournee": 0.9729013889301725,
"ratio_18h_20hjournee": 0.9419769513298776,
"ratio_weekendsemaine": 1.039091373119966,
"deciles_ratio_ete_hiver": "20-30",
"deciles_ratio_8h_11hjournee": "50-60",
"consommation_annuelle_en_kwh": 8080.743,
"deciles_ratio_12h_16hjournee": "30-40",
"deciles_ratio_18h_20hjournee": "30-40",
"deciles_ratio_weekendsemaine": "80-90",
"deciles_consommation_annuelle_kwh": "40-50"
}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/courbes-de-charges-fictives-caracteristiques/
- Format
- openapi
Query examples
curl -s 'https://opendata.enedis.fr/data-fair/api/v1/datasets/courbes-de-charges-fictives-caracteristiques/' -H 'Accept: application/json'Base API endpoint — see the documentation for available routes.
Dataset
Volume & freshness
License
No license declared upstream.
Source: datafair
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.