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Transmission Lines Data

Total number of rows: 537,250


2019-10-03 21:00Z 2019-10-03 23:00 DK2 SE4 1,300.0 -1,700.0 1,180.3 None None 852.9 0.00 268.25 268.25 0.00 35.93 35.93
2019-10-03 21:00Z 2019-10-03 23:00 DK2 DK1 590.0 -600.0 0.0 None None -50.7 0.00 268.25 268.25 0.00 35.93 35.93
2019-10-03 21:00Z 2019-10-03 23:00 DK2 DE 600.0 -585.0 -315.3 None None -87.8 -3.20 268.25 268.24 0.00 35.93 35.93
2019-10-03 21:00Z 2019-10-03 23:00 DK1 SE3 340.0 -365.0 340.0 None None 373.3 2,029.80 268.25 262.28 272.00 35.93 35.13
2019-10-03 21:00Z 2019-10-03 23:00 DK1 NO2 1,287.0 -1,287.0 1,287.0 None None 1,082.6 7,683.39 268.25 262.28 1,029.60 35.93 35.13
2019-10-03 21:00Z 2019-10-03 23:00 DK1 DK2 600.0 -590.0 0.0 None None 50.7 0.00 268.25 268.25 0.00 35.93 35.93
2019-10-03 21:00Z 2019-10-03 23:00 DK1 DE 1,500.0 -1,300.0 -450.3 None None -409.2 -9.95 268.25 268.24 0.00 35.93 35.93
2019-10-03 20:00Z 2019-10-03 22:00 DK2 SE4 1,300.0 -1,700.0 932.0 None None 565.7 0.00 340.37 340.37 0.00 45.59 45.59
2019-10-03 20:00Z 2019-10-03 22:00 DK2 DK1 590.0 -600.0 71.4 None None 72.6 0.00 340.37 340.37 0.00 45.59 45.59
2019-10-03 20:00Z 2019-10-03 22:00 DK2 DE 600.0 -585.0 -46.4 None None 192.5 0.00 340.37 340.36 0.00 45.59 45.59
2019-10-03 20:00Z 2019-10-03 22:00 DK1 SE3 340.0 -365.0 340.0 None None 674.1 24,214.80 340.37 269.15 3,243.60 45.59 36.05
2019-10-03 20:00Z 2019-10-03 22:00 DK1 NO2 1,287.0 -1,287.0 1,287.0 None None 1,286.5 91,660.14 340.37 269.15 12,277.98 45.59 36.05
2019-10-03 20:00Z 2019-10-03 22:00 DK1 DK2 600.0 -590.0 -71.4 None None -72.6 0.00 340.37 340.37 0.00 45.59 45.59
2019-10-03 20:00Z 2019-10-03 22:00 DK1 DE 1,500.0 -1,300.0 -628.2 None None -621.6 -7.24 340.37 340.36 0.00 45.59 45.59
2019-10-03 19:00Z 2019-10-03 21:00 DK2 SE4 1,300.0 -1,700.0 575.6 None None 181.7 0.00 358.82 358.82 0.00 48.06 48.06
2019-10-03 19:00Z 2019-10-03 21:00 DK2 DK1 590.0 -600.0 590.0 None None 438.3 0.00 358.82 358.82 0.00 48.06 48.06
2019-10-03 19:00Z 2019-10-03 21:00 DK2 DE 600.0 -585.0 -85.6 None None 339.3 0.30 358.82 358.80 0.00 48.06 48.06
2019-10-03 19:00Z 2019-10-03 21:00 DK1 SE3 340.0 -365.0 340.0 None None 707.5 30,334.80 358.82 269.60 4,063.00 48.06 36.11
2019-10-03 19:00Z 2019-10-03 21:00 DK1 NO2 1,287.0 -1,287.0 1,287.0 None None 1,295.0 114,826.14 358.82 269.60 15,379.65 48.06 36.11
2019-10-03 19:00Z 2019-10-03 21:00 DK1 DK2 600.0 -590.0 -590.0 None None -438.3 0.00 358.82 358.82 0.00 48.06 48.06
2019-10-03 19:00Z 2019-10-03 21:00 DK1 DE 1,500.0 -1,300.0 197.4 None None 198.1 0.00 358.82 358.80 0.00 48.06 48.06
2019-10-03 18:00Z 2019-10-03 20:00 DK2 SE4 1,300.0 -1,700.0 316.9 None None 52.3 0.00 399.65 399.65 0.00 53.53 53.53
2019-10-03 18:00Z 2019-10-03 20:00 DK2 DK1 590.0 -600.0 384.0 None None 579.1 0.00 399.65 399.65 0.00 53.53 53.53
2019-10-03 18:00Z 2019-10-03 20:00 DK2 DE 600.0 -585.0 209.6 None None 398.7 9.86 399.65 399.63 0.00 53.53 53.53
2019-10-03 18:00Z 2019-10-03 20:00 DK1 SE3 340.0 -365.0 340.0 None None 664.2 42,591.80 399.65 274.38 5,705.20 53.53 36.75
2019-10-03 18:00Z 2019-10-03 20:00 DK1 NO2 1,287.0 -1,287.0 1,287.0 None None 1,263.0 161,222.49 399.65 274.38 21,595.86 53.53 36.75
2019-10-03 18:00Z 2019-10-03 20:00 DK1 DK2 600.0 -590.0 -384.0 None None -579.1 0.00 399.65 399.65 0.00 53.53 53.53
2019-10-03 18:00Z 2019-10-03 20:00 DK1 DE 1,500.0 -1,300.0 234.9 None None 243.5 0.68 399.65 399.63 0.00 53.53 53.53
2019-10-03 17:00Z 2019-10-03 19:00 DK2 SE4 1,300.0 -1,580.0 116.6 None None -73.6 0.00 495.22 495.22 0.00 66.33 66.33
2019-10-03 17:00Z 2019-10-03 19:00 DK2 DK1 590.0 -600.0 590.0 None None 593.8 49,642.60 495.22 411.08 6,649.30 66.33 55.06
2019-10-03 17:00Z 2019-10-03 19:00 DK2 DE 600.0 -585.0 285.4 None None 595.4 50,498.44 495.22 411.06 6,762.00 66.33 55.06
2019-10-03 17:00Z 2019-10-03 19:00 DK1 SE3 340.0 -365.0 340.0 None None 618.5 45,488.60 411.08 277.29 6,092.80 55.06 37.14
2019-10-03 17:00Z 2019-10-03 19:00 DK1 NO2 1,287.0 -1,287.0 1,287.0 None None 1,332.0 172,187.73 411.08 277.29 23,063.04 55.06 37.14
2019-10-03 17:00Z 2019-10-03 19:00 DK1 DK2 600.0 -590.0 -590.0 None None -593.8 49,642.60 411.08 495.22 6,649.30 55.06 66.33
2019-10-03 17:00Z 2019-10-03 19:00 DK1 DE 1,500.0 -1,300.0 626.4 None None 563.6 9.88 411.08 411.06 0.00 55.06 55.06
2019-10-03 16:00Z 2019-10-03 18:00 DK2 SE4 980.0 -980.0 121.8 None None -34.5 0.00 439.22 439.22 0.00 58.83 58.83
2019-10-03 16:00Z 2019-10-03 18:00 DK2 DK1 590.0 -600.0 590.0 None None 592.1 33,476.60 439.22 382.48 4,484.00 58.83 51.23
2019-10-03 16:00Z 2019-10-03 18:00 DK2 DE 600.0 -585.0 303.5 None None 547.3 34,054.39 439.22 382.46 4,560.00 58.83 51.23
2019-10-03 16:00Z 2019-10-03 18:00 DK1 SE3 340.0 -365.0 340.0 None None 325.2 36,172.60 382.48 276.09 4,845.00 51.23 36.98
2019-10-03 16:00Z 2019-10-03 18:00 DK1 NO2 1,287.0 -1,287.0 1,287.0 None None 1,317.4 136,923.93 382.48 276.09 18,339.75 51.23 36.98
2019-10-03 16:00Z 2019-10-03 18:00 DK1 DK2 600.0 -590.0 -590.0 None None -592.1 33,476.60 382.48 439.22 4,484.00 51.23 58.83
2019-10-03 16:00Z 2019-10-03 18:00 DK1 DE 1,500.0 -1,300.0 588.1 None None 642.0 3.88 382.48 382.46 0.00 51.23 51.23
2019-10-03 15:00Z 2019-10-03 17:00 DK2 SE4 980.0 -980.0 127.4 None None -61.2 0.00 409.36 409.36 0.00 54.83 54.83
2019-10-03 15:00Z 2019-10-03 17:00 DK2 DK1 590.0 -600.0 590.0 None None 591.1 30,390.90 409.36 357.85 4,071.00 54.83 47.93
2019-10-03 15:00Z 2019-10-03 17:00 DK2 DE 600.0 -585.0 517.3 None None 535.1 30,920.28 409.36 357.83 4,140.00 54.83 47.93
2019-10-03 15:00Z 2019-10-03 17:00 DK1 SE3 340.0 -365.0 340.0 None None 294.4 27,999.00 357.85 275.50 3,750.20 47.93 36.90
2019-10-03 15:00Z 2019-10-03 17:00 DK1 NO2 1,287.0 -1,287.0 1,287.0 None None 1,366.9 105,984.45 357.85 275.50 14,195.61 47.93 36.90
2019-10-03 15:00Z 2019-10-03 17:00 DK1 DK2 600.0 -590.0 -590.0 None None -591.1 30,390.90 357.85 409.36 4,071.00 47.93 54.83
2019-10-03 15:00Z 2019-10-03 17:00 DK1 DE 1,500.0 -1,300.0 1,150.8 None None 1,146.9 11.22 357.85 357.83 0.00 47.93 47.93
2019-10-03 14:00Z 2019-10-03 16:00 DK2 SE4 980.0 -980.0 136.8 None None -297.2 0.00 301.63 301.63 0.00 40.40 40.40

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

Price area

Name Price area
Description

DK1 is the Jutland and Fyen and DK2 is Zealand and islands

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

Connected area

Name Connected area
Description

The destination area of the connection.

Comment
Example DK1
Unit text
Field ConnectedArea
Property Constraint
Type text
Size 8
Format Regex DK1 | DK2 | SE3 | SE4 | NO2 | DE
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 300.0
Unit MWh per hour
Field ImportCapacity
Property Constraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
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 300.0
Unit MWh per hour
Field ExportCapacity
Property Constraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules

Scheduled Exchange DayAhead

Name Scheduled Exchange DayAhead
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 300.0
Unit MWh per hour
Field ScheduledExchangeDayAhead
Property Constraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
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 300.0
Unit MWh per hour
Field ScheduledExchangeIntraday
Property Constraint
Type float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
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 float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
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 float
Size 9.1
Format Regex ([0-9]*[,])[0-9]
Validation Rules

Congestion income (DKK)

Name Congestion income (DKK)
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 DKK per hour
Field CongestionIncomeDKK
Property Constraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules

Home price (DKK)

Name Home price (DKK)
Description

Price in the home price area

Comment
Example 300.0
Unit DKK per hour
Field HomePriceDKK
Property Constraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
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 float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
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 float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules

Home price (EUR)

Name Home price (EUR)
Description

Price in the home price area

Comment
Example 300.0
Unit EUR per hour
Field HomePriceEUR
Property Constraint
Type float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
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 float
Size 9.2
Format Regex ([0-9]*[,])[0-9][0-9]
Validation Rules