DE-LU Day-Ahead Electricity Spot Prices Hourly
2020-01-01 to 2026-09-24
Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- CC-BY-4.0
- Source / creator
- Bundesnetzagentur / SMARD via Fraunhofer ISE energy-charts
- Collection method
- uploaded
- Coverage / snapshot
- 2020-01-01 to 2026-09-24
- Data last updated
- Not documented
- Update schedule
- Stored snapshot; no refresh schedule documented
Preview contains a bounded selection from archive entry de_lu_day_ahead_hourly_2020-01-01_2026-09-24.csv; it does not represent every file in the bundle. Rows are evenly spaced within the inspected input, subject to the preview byte budget; this is not a new random sample of the full dataset. Structured reuse terms reproduce the supplier’s explicit license declaration; upstream and third-party rights still apply. Coverage is stated by the supplier; it has not been verified against every record in the full file. From 2025-10-01 onward the source uses 15-minute products; this dataset selects the on-the-hour value. Those values are not hourly averages. The stored data includes one boundary record at 2019-12-31T23:00:00Z.
Sample structure score: 100 / 100
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
Assessed 10 sample records (JSON) on 2026-10-09. All records in the provided sample were checked.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 50 / 50 | 110 of 110 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated. |
| Consistent value types | 30 / 30 | 110 of 110 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth. |
| Consistent record shape | 20 / 20 | 10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys. |
Field-level findings and improvements
Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.
| Field | Missing cells | Most common type | Other populated types |
|---|---|---|---|
| timestamp_utc | 0 / 10 | string | 0 / 10 |
| timezone | 0 / 10 | string | 0 / 10 |
| market | 0 / 10 | string | 0 / 10 |
| zone | 0 / 10 | string | 0 / 10 |
| country | 0 / 10 | string | 0 / 10 |
| price_eur_mwh | 0 / 10 | number | 0 / 10 |
| currency | 0 / 10 | string | 0 / 10 |
| unit | 0 / 10 | string | 0 / 10 |
| source | 0 / 10 | string | 0 / 10 |
| license | 0 / 10 | string | 0 / 10 |
| retrieved_at_utc | 0 / 10 | string | 0 / 10 |
About this data
Hourly day-ahead electricity spot prices for the Germany/Luxembourg bidding zone, records from 1 January 2020 to 24 September 2026 (UTC, EUR/MWh). From 1 October 2025, on-the-hour values selected from 15-minute auction products via documented rule, not hourly averages. Includes negative market prices (minimum −500.00, maximum 936.28 EUR/MWh). Full provenance per row; QA-verified with zero gaps, duplicates, or nulls across all DST transitions. Static historical snapshot; not a real-time feed.
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py 466da43d-404f-49cd-962b-88036e77bb2d --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| timestamp_utc | string | |
| timezone | string | |
| market | string | |
| zone | string | |
| country | string | |
| price_eur_mwh | number | |
| currency | string | |
| unit | string | |
| source | string | |
| license | string | |
| retrieved_at_utc | string |
Sample Data
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// Found: 466da43d-404f-49cd-962b-88036e77bb2d
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