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Metadata
Data API

CO2 Emission Prognosis Data

Data Explorer Filters

No data filters are assigned to this Data Explorer view yet. You are viewing an unfiltered version of the complete resource data.

Interval

Total number of rows: 573,672


2019-09-23 17:45Z	2019-09-23 19:45	DK2	74
2019-09-23 17:45Z	2019-09-23 19:45	DK1	74
2019-09-23 17:40Z	2019-09-23 19:40	DK2	74
2019-09-23 17:40Z	2019-09-23 19:40	DK1	74
2019-09-23 17:35Z	2019-09-23 19:35	DK2	73
2019-09-23 17:35Z	2019-09-23 19:35	DK1	73
2019-09-23 17:30Z	2019-09-23 19:30	DK2	73
2019-09-23 17:30Z	2019-09-23 19:30	DK1	73
2019-09-23 17:25Z	2019-09-23 19:25	DK2	73
2019-09-23 17:25Z	2019-09-23 19:25	DK1	73
2019-09-23 17:20Z	2019-09-23 19:20	DK2	72
2019-09-23 17:20Z	2019-09-23 19:20	DK1	72
2019-09-23 17:15Z	2019-09-23 19:15	DK2	71
2019-09-23 17:15Z	2019-09-23 19:15	DK1	71
2019-09-23 17:10Z	2019-09-23 19:10	DK2	71
2019-09-23 17:10Z	2019-09-23 19:10	DK1	71
2019-09-23 17:05Z	2019-09-23 19:05	DK2	70
2019-09-23 17:05Z	2019-09-23 19:05	DK1	70
2019-09-23 17:00Z	2019-09-23 19:00	DK2	69
2019-09-23 17:00Z	2019-09-23 19:00	DK1	69
2019-09-23 16:55Z	2019-09-23 18:55	DK2	68
2019-09-23 16:55Z	2019-09-23 18:55	DK1	68
2019-09-23 16:50Z	2019-09-23 18:50	DK2	68
2019-09-23 16:50Z	2019-09-23 18:50	DK1	68
2019-09-23 16:45Z	2019-09-23 18:45	DK2	67
2019-09-23 16:45Z	2019-09-23 18:45	DK1	67
2019-09-23 16:40Z	2019-09-23 18:40	DK2	67
2019-09-23 16:40Z	2019-09-23 18:40	DK1	67
2019-09-23 16:35Z	2019-09-23 18:35	DK2	66
2019-09-23 16:35Z	2019-09-23 18:35	DK1	66
2019-09-23 16:30Z	2019-09-23 18:30	DK2	66
2019-09-23 16:30Z	2019-09-23 18:30	DK1	66
2019-09-23 16:25Z	2019-09-23 18:25	DK2	66
2019-09-23 16:25Z	2019-09-23 18:25	DK1	66
2019-09-23 16:20Z	2019-09-23 18:20	DK2	65
2019-09-23 16:20Z	2019-09-23 18:20	DK1	65
2019-09-23 16:15Z	2019-09-23 18:15	DK2	65
2019-09-23 16:15Z	2019-09-23 18:15	DK1	65
2019-09-23 16:10Z	2019-09-23 18:10	DK2	64
2019-09-23 16:10Z	2019-09-23 18:10	DK1	64
2019-09-23 16:05Z	2019-09-23 18:05	DK2	64
2019-09-23 16:05Z	2019-09-23 18:05	DK1	64
2019-09-23 16:00Z	2019-09-23 18:00	DK2	64
2019-09-23 16:00Z	2019-09-23 18:00	DK1	64
2019-09-23 15:55Z	2019-09-23 17:55	DK2	60
2019-09-23 15:55Z	2019-09-23 17:55	DK1	60
2019-09-23 15:50Z	2019-09-23 17:50	DK2	57
2019-09-23 15:50Z	2019-09-23 17:50	DK1	57
2019-09-23 15:45Z	2019-09-23 17:45	DK2	56
2019-09-23 15:45Z	2019-09-23 17:45	DK1	56

Access resource data via a web API with powerful query support. Further information in the main CKAN Data API and DataStore documentation.

Endpoints »

The Data API can be accessed via the following actions of the CKAN action API.

Query	`https://api.energidataservice.dk/datastore_search`
Query (via SQL)	`https://api.energidataservice.dk/datastore_search_sql`

Querying »

Query example (first 5 results)

https://api.energidataservice.dk/datastore_search?resource_id=co2emisprog&limit=5

Query example (via SQL statement)

https://api.energidataservice.dk/datastore_search_sql?sql=SELECT * from "co2emisprog" LIMIT 5

Example: Javascript »

A simple ajax (JSONP) request to the data API using jQuery.

  var data = {
    resource_id: 'co2emisprog', // the resource id
    limit: 5 // get 5 results
  };
  $.ajax({
    url: 'https://api.energidataservice.dk/datastore_search',
    data: data,
    dataType: 'jsonp',
    success: function(data) {
      alert('Total results found: ' + data.result.total)
    }
  });

Example: Python »

import urllib2
url = 'https://api.energidataservice.dk/datastore_search?resource_id=co2emisprog&limit=5'
fileobj = urllib2.urlopen(url)
print fileobj.read()

NOTE: This snippet only works with python 2.

Data Dictionary

Column	Type	Label	Description
Minutes5UTC	timestamptz
Minutes5DK	timestamp
PriceArea	text
CO2Emission	int4

5 minutes UTC

Name	5 minutes UTC
Description	A date and time (interval), shown in UTC time zone, where the values are valid. 00:00:00 o’clock is the first 5 minutes of a given day, interval 00:00:00 - 00:04:59, and 00:05:00 covers the second 5 minutes period (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 08:05Z. 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 08:05. 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. 2017-07-14T08:05Z.
Example	2017-07-14T08:05:00Z
Unit
Field	Minutes5UTC
Property Contstraint
Type	timestamptz
Size	20
Format Regex
Validation Rules

5 minutes DK

Name	5 minutes DK
Description	A date and time (interval), shown in Danish time zone, where the values are valid. 00:00:00 o’clock is the first 5 minutes of a given day, interval 00:00:00 - 00:04:59, and 00:05:00 covers the second 5 minutes period (interval) of the day and so forth.
Comment	On one normal day there will be 24 * 12 = 288 intervals. When daylight saving times shifts there will be either 276 or 300 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:ss e.g. 2017-07-14 08:00:00. 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:ss e.g. 2017-07-14T08:00:00.
Example	2012-10-01T02:15:00
Unit
Field	Minutes5DK
Property Contstraint
Type	timestamp
Size	19
Format Regex
Validation Rules

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 or DK2

CO2 Emission

Name	CO2 Emission
Description	The estimated value for the emission in g/kWh for the relevant 5 minutes period.
Comment
Example	301
Unit	g/kWh
Field	CO2Emission
Property Contstraint
Type	int
Size	4
Format Regex	\d{4}
Validation Rules