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Nordpool Market Data

Total number of rows: 152,492


2019-09-12 21:00Z 2019-09-12 23:00 DK2 967.3 338.7 225.22 None None None 30.19 None None None
2019-09-12 21:00Z 2019-09-12 23:00 DK1 2,243.1 2,624.9 225.22 None None None None None None None
2019-09-12 20:00Z 2019-09-12 22:00 DK2 1,184.4 259.5 274.83 None None None 36.84 None None None
2019-09-12 20:00Z 2019-09-12 22:00 DK1 2,396.1 2,650.2 274.83 None None None None None None None
2019-09-12 19:00Z 2019-09-12 21:00 DK2 1,354.2 529.7 309.67 None None None 41.51 None None None
2019-09-12 19:00Z 2019-09-12 21:00 DK1 2,304.7 1,392.2 309.67 None None None None None None None
2019-09-12 18:00Z 2019-09-12 20:00 DK2 1,464.3 546.9 329.52 None None None 44.17 None None None
2019-09-12 18:00Z 2019-09-12 20:00 DK1 2,689.7 1,470.7 329.52 None None None None None None None
2019-09-12 17:00Z 2019-09-12 19:00 DK2 1,484.9 564.9 330.26 None None None 44.27 None None None
2019-09-12 17:00Z 2019-09-12 19:00 DK1 2,356.2 1,505.4 330.26 None None None None None None None
2019-09-12 16:00Z 2019-09-12 18:00 DK2 1,502.3 288.3 313.33 None None None 42.00 None None None
2019-09-12 16:00Z 2019-09-12 18:00 DK1 2,057.3 1,534.3 313.33 None None None None None None None
2019-09-12 15:00Z 2019-09-12 17:00 DK2 1,484.7 292.0 297.66 None None None 39.90 None None None
2019-09-12 15:00Z 2019-09-12 17:00 DK1 2,079.7 1,535.4 297.66 None None None None None None None
2019-09-12 14:00Z 2019-09-12 16:00 DK2 1,286.6 387.6 244.32 None None None 32.75 None None None
2019-09-12 14:00Z 2019-09-12 16:00 DK1 1,827.4 1,533.7 244.32 None None None None None None None
2019-09-12 13:00Z 2019-09-12 15:00 DK2 1,266.7 467.3 244.10 None None None 32.72 None None None
2019-09-12 13:00Z 2019-09-12 15:00 DK1 1,820.5 1,533.7 244.10 None None None None None None None
2019-09-12 12:00Z 2019-09-12 14:00 DK2 1,288.5 479.9 243.80 None None None 32.68 None None None
2019-09-12 12:00Z 2019-09-12 14:00 DK1 1,896.2 1,483.4 243.80 None None None None None None None
2019-09-12 11:00Z 2019-09-12 13:00 DK2 1,306.6 401.8 263.20 None None None 35.28 None None None
2019-09-12 11:00Z 2019-09-12 13:00 DK1 2,998.5 1,466.3 263.20 None None None None None None None
2019-09-12 10:00Z 2019-09-12 12:00 DK2 1,328.9 334.1 305.79 None None None 40.99 None None None
2019-09-12 10:00Z 2019-09-12 12:00 DK1 2,476.5 1,420.5 305.79 None None None None None None None
2019-09-12 09:00Z 2019-09-12 11:00 DK2 1,372.8 662.3 313.10 None None None 41.97 None None None
2019-09-12 09:00Z 2019-09-12 11:00 DK1 2,942.2 1,398.0 313.10 None None None None None None None
2019-09-12 08:00Z 2019-09-12 10:00 DK2 1,400.1 642.0 327.73 None None None 43.93 None None None
2019-09-12 08:00Z 2019-09-12 10:00 DK1 3,089.3 1,410.4 327.73 None None None None None None None
2019-09-12 07:00Z 2019-09-12 09:00 DK2 1,450.7 579.5 357.79 None None None 47.96 None None None
2019-09-12 07:00Z 2019-09-12 09:00 DK1 2,771.7 1,336.0 357.79 None None None None None None None
2019-09-12 06:00Z 2019-09-12 08:00 DK2 1,449.7 531.3 414.41 None None None 55.55 None None None
2019-09-12 06:00Z 2019-09-12 08:00 DK1 1,985.9 1,167.3 414.41 None None None None None None None
2019-09-12 05:00Z 2019-09-12 07:00 DK2 1,393.6 522.8 375.40 None None None 50.32 None None None
2019-09-12 05:00Z 2019-09-12 07:00 DK1 3,067.0 1,380.0 375.40 None None None None None None None
2019-09-12 04:00Z 2019-09-12 06:00 DK2 1,208.4 514.5 333.17 None None None 44.66 None None None
2019-09-12 04:00Z 2019-09-12 06:00 DK1 2,655.8 1,095.6 333.17 None None None None None None None
2019-09-12 03:00Z 2019-09-12 05:00 DK2 847.2 233.6 229.33 None None None 30.74 None None None
2019-09-12 03:00Z 2019-09-12 05:00 DK1 1,954.6 1,078.5 229.33 None None None None None None None
2019-09-12 02:00Z 2019-09-12 04:00 DK2 776.3 260.5 209.11 None None None 28.03 None None None
2019-09-12 02:00Z 2019-09-12 04:00 DK1 2,259.5 1,119.5 209.11 None None None None None None None
2019-09-12 01:00Z 2019-09-12 03:00 DK2 748.2 294.4 200.60 None None None 26.89 None None None
2019-09-12 01:00Z 2019-09-12 03:00 DK1 2,849.0 1,162.0 200.60 None None None None None None None
2019-09-12 00:00Z 2019-09-12 02:00 DK2 746.1 386.0 205.38 None None None 27.53 None None None
2019-09-12 00:00Z 2019-09-12 02:00 DK1 2,172.9 1,180.8 205.38 None None None None None None None
2019-09-11 23:00Z 2019-09-12 01:00 DK2 751.5 456.5 202.99 None None None 27.21 None None None
2019-09-11 23:00Z 2019-09-12 01:00 DK1 2,887.8 1,200.8 202.99 None None None None None None None
2019-09-11 22:00Z 2019-09-12 00:00 DK2 765.1 537.9 207.99 None None None 27.88 None None None
2019-09-11 22:00Z 2019-09-12 00:00 DK1 2,924.2 1,237.2 207.99 None None None None None None None
2019-09-11 21:00Z 2019-09-11 23:00 DK2 895.0 621.4 224.54 None None None 30.10 None None None
2019-09-11 21:00Z 2019-09-11 23:00 DK1 2,387.7 1,184.5 224.54 None None None None None None None

Data Dictionary

Column Type Label Description
HourUTC timestamptz
HourDK timestamp
PriceArea text
SpotPurchase float8
SpotSale float8
SpotPriceDKK float8
ElbasAveragePriceDKK float8
ElbasMaxPriceDKK float8
ElbasMinPriceDKK float8
SpotPriceEUR float8
ElbasAveragePriceEUR float8
ElbasMaxPriceEUR float8
ElbasMinPriceEUR float8

Hour UTC

Name Hour UTC
Description

A date and time (interval), shown in UTC time zone, where the values are valid. 00:00 o’clock is the first hour of a given day interval 00:00 - 00:59 and 01:00 covers the second hour (interval) of the day and so forth. Please note: The naming is based on the length of the interval of the finest grain of the resolution.

Comment

Please note that the format shown in the example applies to data download as JSON, XML or fetched through the API and is in accordance with the ISO 8601 standard. The format is slightly different when it is shown on screen or downloaded manually as CSV or XLSX. This is mainly due to readability and consideration for Excel users.

In preview (in the GUI) all timestamps are shown as (display convention) YYYY-MM-DD hh:mmZ e.g. 2017-07-14 08:00Z. The Z will remind viewers that this is UTC.

In download (CSV and XLSX) the date time are exported as YYYY-MM-DD hh:mm e.g. 2017-07-14 08:00. That is without the “T” and the “Z” and the seconds. Excel will recognize it as date-time. The user must remember the convention about time zones.

In download (JSON and XML) the full format is used YYYY-MM-DDThh:mmZ e.g. 2017-07-14T08:00Z.

Example 2017-07-14T08:00Z
Unit
Field HourUTC
Property Contstraint
Type timestamptz
Size 17
Format Regex
Validation Rules Always full hours, i.e. minutes are 00

Hour DK

Name Hour DK
Description

A date and time (interval), shown in Danish time zone, where the values are valid. 00:00 o’clock is the first hour of a given day, interval 00:00 - 00:59, and 01:00 covers the second hour period (interval) of the day and so forth.

Comment

On one normal day there will be 24 intervals.

When daylight saving times shifts there will be either 23 or 25 intervals.

Please note that the format shown in the example applies to data download as JSON, XML or fetched through the API and is in accordance with the ISO 8601 standard. The format is slightly different when it is shown on screen or downloaded manually as CSV or XLSX. This is mainly due to readability and consideration for Excel users.

In preview (in the GUI) all timestamps are shown as (display convention) YYYY-MM-DD hh:mm e.g. 2017-07-14 08:00. Please note that is no time zone indicator, showning that this is local (Danish) time.

In download (CSV and XLSX) the date time are exported as YYYY-MM-DD hh:mm e.g. 2017-07-14 08:00. That is without the “T” and the seconds. Excel will recognize it as date-time. The user must remember that this is local (Danish) time.

In download (JSON and XML) the format used is YYYY-MM-DDThh:mm e.g. 2017-07-14T08:00.

Example 2017-07-14T08:00
Unit
Field HourDK
Property Contstraint
Type timestamp
Size 17
Format Regex
Validation Rules Always full hours, i.e. minutes are 00

Price area

Name Price area
Description

DK1 is Jutland and Fyen and DK2 is Zealand and islands

Comment

DK1 and DK2 are the standard abbreviation for the two Danish price areas

Example DK1
Unit
Field PriceArea
Property Contstraint
Type text
Size 3
Format Regex DK1 | DK2 |
Validation Rules DK1, DK2

Spot purchase

Name Spot purchase
Description

The purchase of electritity from the nordpool spot

Comment

Purchased electricity is seen from the consumption side, meaning that the sum of purchased electricity on all market in the price area + import from connected price areas, should cover the planned consumption in the price area.

Example 184.3
Unit MWh per hour
Field SpotPurchase
Property Contstraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Spot sale

Name Spot sale
Description

The sale of electricity to the nordpool spot

Comment

Sale of electricity is seen from the producer side, so purchased electricity + export - import = sales.

Example 184.3
Unit MWh per hour
Field SpotSale
Property Contstraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules >=0

Spot price (DKK)

Name Spot price (DKK)
Description

Day ahead Spot Price in the price area

Comment

The day-ahead prices indicate the balance between supply and demand.

Example 543,45
Unit DKK per MWh
Field SpotPriceDKK
Property Contstraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules

Elbas average price (DKK)

Name Elbas average price (DKK)
Description

Nord Pool Elbas is the Nordic trading centre for trading electricity up to one hour before delivery hour. At the Elspot market it may take up to 36 hours from a contract has changed hands until the actual delivery hour. During this time the consumption and production situation may easily have changed. Elbas makes it therefore easier for the market players to reach balance through trading.

Comment
Example 543,45
Unit DKK
Field ElbasAveragePriceDKK
Property Contstraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules

Elbas max. price (DKK)

Name Elbas max. price (DKK)
Description

Maximum Elbas price in the area in DKK

Comment
Example 543,45
Unit DKK
Field ElbasMaxPriceDKK
Property Contstraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules

Elbas min. price (DKK)

Name Elbas min. price (DKK)
Description

Minimum Elbas price in the area in DKK

Comment
Example 543,45
Unit DKK
Field ElbasMinPriceDKK
Property Contstraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules

Spot price (EUR)

Name Spot price (EUR)
Description

Day ahead Spot Price in the price area

Comment

The day-ahead prices indicate the balance between supply and demand.

Example 543,45
Unit EUR per MWh
Field SpotPriceEUR
Property Contstraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules

Elbas average price (EUR)

Name Elbas average price (EUR)
Description

Nord Pool Elbas is the Nordic trading centre for trading electricity up to one hour before delivery hour. At the Elspot market it may take up to 36 hours from a contract has changed hands until the actual delivery hour. During this time the consumption and production situation may easily have changed. Elbas makes it therefore easier for the market players to reach balance through trading.

Comment
Example 543,45
Unit EUR
Field ElbasAveragePriceEUR
Property Contstraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules

Elbas max. price (EUR)

Name Elbas max. price (EUR)
Description

Maximum Elbas price in the area in EUR

Comment
Example 543,45
Unit EUR
Field ElbasMaxPriceEUR
Property Contstraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules

Elbas min. price (EUR)

Name Elbas min. price (EUR)
Description

Minimum Elbas price in the area in EUR

Comment
Example 543,45
Unit EUR
Field ElbasMinPriceEUR
Property Contstraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules