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Electricity Balance Non-Validated Data

Total number of rows: 50,478


2017-04-09 10:00Z 2017-04-09 12:00 DK2 None 258.3 11.8 50.8 14.5 None None None 75.6 None None None None None
2017-04-09 10:00Z 2017-04-09 12:00 DK1 None 311.0 126.7 248.5 124.9 2.0 3.0 None 74.0 None None None None None
2017-04-09 09:00Z 2017-04-09 11:00 DK2 None 255.9 13.7 37.9 14.6 None None None 74.8 None None None None None
2017-04-09 09:00Z 2017-04-09 11:00 DK1 None 309.0 129.3 250.0 123.1 2.0 2.5 None 73.0 None None None None None
2017-04-09 08:00Z 2017-04-09 10:00 DK2 None 256.7 12.2 37.2 14.5 None None None 73.4 None None None None None
2017-04-09 08:00Z 2017-04-09 10:00 DK1 None 313.6 137.6 238.3 123.0 2.0 3.3 None 74.2 None None None None None
2017-04-09 07:00Z 2017-04-09 09:00 DK2 None 258.3 11.1 34.3 12.6 None None None 73.6 None None None None None
2017-04-09 07:00Z 2017-04-09 09:00 DK1 None 322.6 146.2 234.3 125.2 2.0 4.3 None 74.3 None None None None None
2017-04-09 06:00Z 2017-04-09 08:00 DK2 None 256.0 8.3 36.5 4.1 None None None 73.0 None None None None None
2017-04-09 06:00Z 2017-04-09 08:00 DK1 None 324.5 177.3 275.3 133.6 2.0 6.3 None 77.0 None None None None None
2017-04-09 05:00Z 2017-04-09 07:00 DK2 None 252.7 6.6 59.2 2.3 None None None 74.3 None None None None None
2017-04-09 05:00Z 2017-04-09 07:00 DK1 None 311.6 156.9 248.3 128.1 2.0 5.8 None 76.2 None None None None None
2017-04-09 04:00Z 2017-04-09 06:00 DK2 None 254.0 6.7 51.5 2.9 None None None 75.0 None None None None None
2017-04-09 04:00Z 2017-04-09 06:00 DK1 None 298.0 138.7 242.5 125.9 2.0 5.0 None 75.0 None None None None None
2017-04-09 03:00Z 2017-04-09 05:00 DK2 None 245.0 7.0 29.0 3.0 None None None 73.0 None None None None None
2017-04-09 03:00Z 2017-04-09 05:00 DK1 None 367.0 118.0 215.0 127.0 2.0 5.0 None 76.0 None None None None None
2017-04-09 02:00Z 2017-04-09 04:00 DK2 None 247.0 7.0 29.0 3.0 None None None 73.0 None None None None None
2017-04-09 02:00Z 2017-04-09 04:00 DK1 None 297.0 118.0 147.0 127.0 2.0 5.0 None 76.0 None None None None None
2017-04-09 01:00Z 2017-04-09 03:00 DK2 None 248.0 7.0 29.0 3.0 None None None 76.0 None None None None None
2017-04-09 01:00Z 2017-04-09 03:00 DK1 None 281.0 111.0 137.0 125.0 2.0 5.0 None 75.0 None None None None None
2017-04-09 00:00Z 2017-04-09 02:00 DK2 None 252.0 7.0 33.0 3.0 None None None 78.0 None None None None None
2017-04-09 00:00Z 2017-04-09 02:00 DK1 None 232.0 116.0 140.0 126.0 2.0 5.0 None 75.0 None None None None None
2017-04-08 23:00Z 2017-04-09 01:00 DK2 None 252.0 7.0 119.0 3.0 None None None 77.0 None None None None None
2017-04-08 23:00Z 2017-04-09 01:00 DK1 None 243.0 113.0 136.0 125.0 2.0 5.0 None 75.0 None None None None None
2017-04-08 22:00Z 2017-04-09 00:00 DK2 None 251.0 7.0 95.0 3.0 None None None 77.0 None None None None None
2017-04-08 22:00Z 2017-04-09 00:00 DK1 None 236.0 125.0 161.0 126.0 2.0 5.0 None 77.0 None None None None None
2017-04-08 21:00Z 2017-04-08 23:00 DK2 None 256.0 6.0 127.0 3.0 None None None 77.0 None None None None None
2017-04-08 21:00Z 2017-04-08 23:00 DK1 None 185.0 180.0 138.0 127.0 2.0 5.0 None 80.0 None None None None None
2017-04-08 20:00Z 2017-04-08 22:00 DK2 None 256.0 7.0 156.0 3.0 None None None 76.0 None None None None None
2017-04-08 20:00Z 2017-04-08 22:00 DK1 None 193.0 201.0 197.0 132.0 2.0 3.0 None 82.0 None None None None None
2017-04-08 19:00Z 2017-04-08 21:00 DK2 None 260.0 7.0 154.0 3.0 None None None 75.0 None None None None None
2017-04-08 19:00Z 2017-04-08 21:00 DK1 None 311.0 209.0 243.0 134.0 2.0 4.0 None 83.0 None None None None None
2017-04-08 18:00Z 2017-04-08 20:00 DK2 None 261.0 6.0 155.0 6.0 None None None 75.0 None None None None None
2017-04-08 18:00Z 2017-04-08 20:00 DK1 None 316.0 192.7 219.5 128.9 2.0 3.0 None 82.0 None None None None None
2017-04-08 17:00Z 2017-04-08 19:00 DK2 None 258.0 6.7 148.5 12.9 None None None 75.0 None None None None None
2017-04-08 17:00Z 2017-04-08 19:00 DK1 None 278.6 189.6 204.8 127.0 2.0 2.8 None 80.2 None None None None None
2017-04-08 16:00Z 2017-04-08 18:00 DK2 None 255.8 7.4 149.8 13.2 None None None 74.7 None None None None None
2017-04-08 16:00Z 2017-04-08 18:00 DK1 None 278.9 182.7 175.5 124.6 2.0 2.5 None 79.8 None None None None None
2017-04-08 15:00Z 2017-04-08 17:00 DK2 None 259.6 7.2 131.6 13.2 None None None 74.3 None None None None None
2017-04-08 15:00Z 2017-04-08 17:00 DK1 None 277.3 185.5 142.1 124.4 2.0 3.1 None 79.6 None None None None None
2017-04-08 14:00Z 2017-04-08 16:00 DK2 None 262.4 6.4 120.4 13.0 None None None 72.8 None None None None None
2017-04-08 14:00Z 2017-04-08 16:00 DK1 None 279.6 187.3 105.3 125.9 2.0 2.8 None 80.2 None None None None None
2017-04-08 13:00Z 2017-04-08 15:00 DK2 None 256.3 9.2 126.8 13.3 None None None 71.5 None None None None None
2017-04-08 13:00Z 2017-04-08 15:00 DK1 None 282.1 185.9 105.6 125.6 2.0 2.6 None 80.2 None None None None None
2017-04-08 12:00Z 2017-04-08 14:00 DK2 None 258.1 8.6 129.6 13.5 None None None 71.2 None None None None None
2017-04-08 12:00Z 2017-04-08 14:00 DK1 None 285.7 196.5 135.4 128.6 2.0 3.4 None 80.4 None None None None None
2017-04-08 11:00Z 2017-04-08 13:00 DK2 None 262.1 8.6 136.6 13.5 None None None 75.2 None None None None None
2017-04-08 11:00Z 2017-04-08 13:00 DK1 None 288.5 200.0 173.8 127.5 2.0 3.2 None 81.0 None None None None None
2017-04-08 10:00Z 2017-04-08 12:00 DK2 None 261.0 8.0 142.0 13.0 None None None 77.0 None None None None None
2017-04-08 10:00Z 2017-04-08 12:00 DK1 None 308.7 222.6 202.8 130.3 2.0 3.3 None 81.3 None None None None None

Data Dictionary

Column Type Label Description
HourUTC timestamptz
HourDK timestamp
PriceArea text
TotalLoad float8
Biomass float8
FossilGas float8
FossilHardCoal float8
FossilOil float8
HydroPower float8
OtherRenewable float8
SolarPower float8
Waste float8
OnshoreWindPower float8
OffshoreWindPower float8
ExchangeContinent int4
ExchangeGreatBelt int4
ExchangeNordicCountries int4

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 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

PriceArea

Name PriceArea
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 Constraint
Type text
Size 3
Format Regex DK1 | DK2
Validation Rules DK1 or DK2

Total load

Name Total load
Description

Sum of the consumption incl. transmission loss

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

Biomass

Name Biomass
Description

Sum of production from power plants with Biomass as main fuel

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

Fossil Gas

Name Fossil Gas
Description

Sum of production from power plants with fossil gas as main fuel

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

Fossil Hard Coal

Name Fossil Hard Coal
Description

Sum of production from power plants with Fossil Hard Coal as main fuel

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

Fossil Oil

Name Fossil Oil
Description

Sum of production from power plants with fossil oil as main fuel

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

Hydro power

Name Hydro power
Description

Sum of production from hydro power plants

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

Other renewable

Name Other renewable
Description

Sum of production from power plant with other fuels as main fuel

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

Solar power

Name Solar power
Description

Electricity production from Solar power

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

Waste

Name Waste
Description

Sum of production from power plant with waste as main fuel

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

Onshore WindPower

Name Onshore WindPower
Description

Electricity production from onshore wind power

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

Offshore WindPower

Name Offshore WindPower
Description

Electricity production from offshore wind power

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

ExchangeContinent

Name ExchangeContinent
Description

Exchange of electricity towards continental Europe

Comment

A positive exchange is import of electricity, while a negative is export.

Both DK1 and DK2 are only connected to Germany until 2019, where DK1 also will be connected the the Netherlands through the COBRA connection.

Example 15
Unit MWh per hour
Field ExchangeContinent
Property Constraint
Type int
Size 4
Format Regex \d{4}
Validation Rules

ExchangeGreatBelt

Name ExchangeGreatBelt
Description

Exchange of electricity over the Great Belt connection between DK1 and DK2

Comment

A positive exchange is import of electricity, while a negative is export.

Example 15
Unit MWh per hour
Field ExchangeGreatBelt
Property Constraint
Type int
Size 4
Format Regex \d{4}
Validation Rules

Exchange Nordic Countries

Name Exchange Nordic Countries
Description

Exchange of electricity towards Norway and Sweden.

Comment

A positive exchange is import of electricity, while a negative is export.

DK1 are connected to both Norway and Sweden, DK2 only to Sweden

Example 15
Unit MWh per hour
Field ExchangeNordicCountries
Property Constraint
Type int
Size 4
Format Regex \d{4}
Validation Rules