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Transmission Lines Data

Total number of rows: 579,739


2020-06-03 13:00Z 2020-06-03 15:00 DK1 NO2 None None None None None 594.4 None None None None None None
2020-06-03 12:00Z 2020-06-03 14:00 DK1 NO2 None None None None None 525.2 None None None None None None
2020-06-03 11:00Z 2020-06-03 13:00 DK1 NO2 None None None None None 397.2 None None None None None None
2020-06-03 10:00Z 2020-06-03 12:00 DK1 NO2 None None None None None 245.8 None None None None None None
2020-06-03 09:00Z 2020-06-03 11:00 DK1 NO2 None None None None None 620.6 None None None None None None
2020-06-03 08:00Z 2020-06-03 10:00 DK1 NO2 None None None None None 729.4 None None None None None None
2020-06-03 07:00Z 2020-06-03 09:00 DK1 NO2 None None None None None 736.4 None None None None None None
2020-06-03 06:00Z 2020-06-03 08:00 DK1 NO2 None None None None None 736.5 None None None None None None
2020-06-03 05:00Z 2020-06-03 07:00 DK1 NO2 None None None None None 736.6 None None None None None None
2020-06-03 04:00Z 2020-06-03 06:00 DK1 NO2 None None None None None 736.1 None None None None None None
2020-06-03 03:00Z 2020-06-03 05:00 DK1 NO2 None None None None None 736.1 None None None None None None
2020-06-03 02:00Z 2020-06-03 04:00 DK1 NO2 None None None None None 736.2 None None None None None None
2020-06-03 01:00Z 2020-06-03 03:00 DK1 NO2 None None None None None 736.2 None None None None None None
2020-06-03 00:00Z 2020-06-03 02:00 DK1 NO2 None None None None None 736.2 None None None None None None
2020-06-02 23:00Z 2020-06-03 01:00 DK1 NO2 None None None None None 736.3 None None None None None None
2020-06-02 22:00Z 2020-06-03 00:00 DK2 SE4 None None None None None -149.3 None None None None None None
2020-06-02 22:00Z 2020-06-03 00:00 DK1 SE3 None None None None None 503.3 None None None None None None
2020-06-02 22:00Z 2020-06-03 00:00 DK1 NO2 None None None None None 736.3 None None None None None None
2020-06-02 22:00Z 2020-06-03 00:00 DK1 NL None None None None None 189.4 None None None None None None
2020-06-02 22:00Z 2020-06-03 00:00 DK1 DK2 None None None None None 453.6 None None None None None None
2020-06-02 22:00Z 2020-06-03 00:00 DK1 DE None None None None None 36.9 None None None None None None
2020-06-02 21:00Z 2020-06-02 23:00 DK2 SE4 None None None None None -89.9 None None None None None None
2020-06-02 21:00Z 2020-06-02 23:00 DK2 DE None None None None None 300.1 None None None None None None
2020-06-02 21:00Z 2020-06-02 23:00 DK1 SE3 None None None None None 503.3 None None None None None None
2020-06-02 21:00Z 2020-06-02 23:00 DK1 NO2 None None None None None 736.3 None None None None None None
2020-06-02 21:00Z 2020-06-02 23:00 DK1 NL None None None None None 516.7 None None None None None None
2020-06-02 21:00Z 2020-06-02 23:00 DK1 DK2 None None None None None 531.0 None None None None None None
2020-06-02 21:00Z 2020-06-02 23:00 DK1 DE None None None None None 135.1 None None None None None None
2020-06-02 20:00Z 2020-06-02 22:00 DK2 SE4 None None None None None 100.9 None None None None None None
2020-06-02 20:00Z 2020-06-02 22:00 DK2 DE None None None None None 301.3 None None None None None None
2020-06-02 20:00Z 2020-06-02 22:00 DK1 SE3 None None None None None 503.4 None None None None None None
2020-06-02 20:00Z 2020-06-02 22:00 DK1 NO2 None None None None None 736.2 None None None None None None
2020-06-02 20:00Z 2020-06-02 22:00 DK1 NL None None None None None 676.5 None None None None None None
2020-06-02 20:00Z 2020-06-02 22:00 DK1 DK2 None None None None None 417.4 None None None None None None
2020-06-02 20:00Z 2020-06-02 22:00 DK1 DE None None None None None 10.6 None None None None None None
2020-06-02 19:00Z 2020-06-02 21:00 DK2 SE4 None None None None None 31.5 None None None None None None
2020-06-02 19:00Z 2020-06-02 21:00 DK2 DE None None None None None 463.5 None None None None None None
2020-06-02 19:00Z 2020-06-02 21:00 DK1 SE3 None None None None None 503.3 None None None None None None
2020-06-02 19:00Z 2020-06-02 21:00 DK1 NO2 None None None None None 736.4 None None None None None None
2020-06-02 19:00Z 2020-06-02 21:00 DK1 NL None None None None None 650.5 None None None None None None
2020-06-02 19:00Z 2020-06-02 21:00 DK1 DK2 None None None None None 350.1 None None None None None None
2020-06-02 19:00Z 2020-06-02 21:00 DK1 DE None None None None None 79.4 None None None None None None
2020-06-02 18:00Z 2020-06-02 20:00 DK2 SE4 None None None None None 272.3 None None None None None None
2020-06-02 18:00Z 2020-06-02 20:00 DK2 DE None None None None None 297.8 None None None None None None
2020-06-02 18:00Z 2020-06-02 20:00 DK1 SE3 None None None None None 460.8 None None None None None None
2020-06-02 18:00Z 2020-06-02 20:00 DK1 NO2 None None None None None 736.3 None None None None None None
2020-06-02 18:00Z 2020-06-02 20:00 DK1 NL None None None None None 675.4 None None None None None None
2020-06-02 18:00Z 2020-06-02 20:00 DK1 DK2 None None None None None 288.5 None None None None None None
2020-06-02 18:00Z 2020-06-02 20:00 DK1 DE None None None None None 60.3 None None None None None None
2020-06-02 17:00Z 2020-06-02 19:00 DK2 SE4 None None None None None 93.4 None None None None None None

Data Dictionary

Column Type Label Description
HourUTC timestamptz
HourDK timestamp
PriceArea text
ConnectedArea text
ImportCapacity float8
ExportCapacity float8
ScheduledExchangeDayAhead float8
ScheduledExchangeIntraday float8
PhysicalExchangeNonvalidated float8
PhysicalExchangeSettlement float8
CongestionIncomeDKK float8
HomePriceDKK float8
ConnectedPriceDKK float8
CongestionIncomeEUR float8
HomePriceEUR float8
ConnectedPriceEUR 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\u2019clock 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 \u201cT\u201d and the \u201cZ\u201d 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 Constraint
Type datetime
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\u2019clock 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 \u201cT\u201d 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 Constraint
Type datetime
Size 17
Format Regex
Validation Rules Always full hours, i.e. minutes are 00

Price area

Name Price area
Description

Same as bidding zone. Denmark is divided in two price areas, or bidding zones, divided by the Great Belt. DK1 is west of the Great Belt and DK2 is east of the Great Belt.

Comment

If price area is \u201cDK\u201d, the data covers all Denmark.

Example DK1
Unit
Field PriceArea
Property Constraint
Type string
Size 3
Format Regex
Validation Rules DK1 or DK2

Connected area

Name Connected area
Description

The destination area of the connection.

Comment

DK1 is the Jutland and Fyen and DK2 is Zealand and islands. DK1 is connected to Norway (Oslo), Sweden (SE3) and Germany (EPEX) DK2 to Sweden (SE4) and Germany (EPEX)

Example DK1
Unit text
Field ConnectedArea
Property Constraint
Type string
Size 8
Format Regex
Validation Rules One of the following values DK1, DK2. SE3, SE4, NO2, DE

Import capacity

Name Import capacity
Description

Import capacity from connected area to the area. The TSOs decide how much import capacity is to be transferred, and the capacity for the coming day is published at Nord Pool Spot every day before 10:00.

Comment
Example 184.3
Unit MWh per hour
Field ImportCapacity
Property Constraint
Type number
Size 9.1
Format Regex
Validation Rules >=0

Export capacity

Name Export capacity
Description

Export capacity from area to the connected area. The TSOs decide how much export capacity is to be transferred, and the capacity for the coming day is published at Nord Pool Spot every day before 10:00.

Comment
Example 184.3
Unit MWh per hour
Field ExportCapacity
Property Constraint
Type number
Size 9.1
Format Regex
Validation Rules

Scheduled exchange day ahead

Name Scheduled exchange day ahead
Description

Scheduled exchange on the transmission lines is the flow of electricity from areas of surplus to areas of deficit resulting from the Nord Pool Spots price calculation

Comment

Positive values are import from connected area to the area. Negative values are eksport from area to connected area.

Example 184.3
Unit MWh per hour
Field ScheduledExchangeDayAhead
Property Constraint
Type number
Size 9.1
Format Regex
Validation Rules

Scheduled exchange intraday

Name Scheduled exchange intraday
Description

Scheduled exchange on the transmission lines is the flow of electricity from areas of surplus to areas of deficit resulting from the Nord Pool Spots price calculation

Comment

Positive values are import from connected area to the area. Negative values are eksport from area to connected area.

Example 184.3
Unit MWh per hour
Field ScheduledExchangeIntraday
Property Constraint
Type number
Size 9.1
Format Regex
Validation Rules

Physical exchange non-validated

Name Physical exchange non-validated
Description

Scheduled exchange on the transmission lines is the flow of electricity from areas of surplus to areas of deficit resulting from the Nord Pool Spots price calculation

Comment

Positive values are import from connected area to the area. Negative values are eksport from area to connected area.

Example 184.3
Unit MWh per hour
Field PhysicalExchangeNonvalidated
Property Constraint
Type number
Size 9.1
Format Regex
Validation Rules

Physical exchange settlement

Name Physical exchange settlement
Description

Scheduled exchange on the transmission lines is the flow of electricity from areas of surplus to areas of deficit resulting from the Nord Pool Spots price calculation

Comment

Positive values are import from connected area to the area. Negative values are eksport from area to connected area.

Example 184.3
Unit MWh per hour
Field PhysicalExchangeSettlement
Property Constraint
Type number
Size 9.1
Format Regex
Validation Rules

Congestion income (DKK)

Name Congestion income (DKK)
Description

9.2

Comment

([0-9]*[,])[0-9][0-9]

Example Congestion income is calculated as the difference in spot prices between the two price areas multiplied by the estimated exchange between the two areas concerned.
Unit DKK per hour
Field CongestionIncomeDKK
Property Constraint
Type number
Size 9.2
Format Regex
Validation Rules

Home price (DKK)

Name Home price (DKK)
Description

Price in the home price area

Comment
Example 543,45
Unit DKK per hour
Field HomePriceDKK
Property Constraint
Type number
Size 9.2
Format Regex
Validation Rules

Connected price (DKK)

Name Connected price (DKK)
Description

Price in the connected area

Comment
Example 300.0
Unit DKK per hour
Field ConnectedPriceDKK
Property Constraint
Type number
Size 9.2
Format Regex
Validation Rules

Congestion income (EUR)

Name Congestion income (EUR)
Description

Congestion income from connection between price areas.

Comment

Congestion income is calculated as the difference in spot prices between the two price areas multiplied by the estimated exchange between the two areas concerned.

Example 300.0
Unit EUR per hour
Field CongestionIncomeEUR
Property Constraint
Type number
Size 9.2
Format Regex
Validation Rules

Home price (EUR)

Name Home price (EUR)
Description

Price in the home price area

Comment
Example 543,45
Unit EUR per hour
Field HomePriceEUR
Property Constraint
Type number
Size 9.2
Format Regex
Validation Rules

Connected price (EUR)

Name Connected price (EUR)
Description

Price in the connected area

Comment
Example 300.0
Unit EUR per hour
Field ConnectedPriceEUR
Property Constraint
Type number
Size 9.2
Format Regex
Validation Rules