{"datasetId":40,"datasetName":"Forecasts_Hour","title":"Forecast Wind and Solar Power, Hour Resolution","description":"Forecast of wind and solar power with a resolution of one hour.","organizationName":"tso-electricity","updateFrequency":"PT5M","comment":"Solar power forecasts are not updated between 6pm and 6am. Therefore, no 5 Hour forecast exists for Solar power between 11pm and 11am.\n\n1 Hour and 5 Hour forecasts are released up to 15 minutes before the start of the forecast and might be updated until 1 minute before the forecast starts. Within this time frame up to 3 updates can take place. \n\nThe hourly forecast values are calculated from the values in [Forecast Wind and Solar power, 5min](https://www.energidataservice.dk/tso-electricity/Forecasts_5Min).\n\nThe following illustrates how the value from 14:00 to 15:00 is calculated:\n((Value at 14:00) / 2 + (All values from 14:05 to 14:55) + (Value at 15:00) / 2) / 12.\n\n---\n**API Request Frequency**\u202F\\\nTo get the most up-to-date data, calling the API with a dynamic timestamp such as [start=now](https://api.energidataservice.dk/dataset/Forecasts_Hour?start=now) is a good approach. Making a request every few minutes or so is sufficient to ensure getting the latest data.","caution":"Data from the Thor offshore wind farm is not included in this dataset.\n\nDue to a technical issue data is missing in the period April 12th-16th 2024 and will not be available.","filterColumn":"HourUTC","author":"Energinet","resolution":"1 hour (PT1H)","columns":[{"datasetId":40,"dbColumn":"HourUTC","dataType":"datetime","sortOrder":0,"primaryKeyIndex":1,"displayName":"Hour UTC","unit":"","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 downloaded as JSON or fetched through the API.\r\nThe 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.\r\n\r\n**In preview (in the GUI)** all timestamps are shown as (display convention)\r\nYYYY-MM-DD hh:mmZ\r\ne.g. 2017-07-14 08:00Z. \r\nThat is without the seconds. The Z will remind viewers that this is UTC.\r\n\r\nIn **download (CSV and XLSX)** the datetime is exported as\r\nYYYY-MM-DD hh:mm\r\ne.g. 2017-07-14 08:00.\r\nThat 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.\r\n\r\nIn **download (JSON and API)** the datetime is exported as\r\nYYYY-MM-DDThh:mm:ss\r\ne.g. 2017-07-14T08:00:00.\r\nThat is without the \"Z\".","example":"2017-07-14T08:00:00","columnSize":17.0,"validationRules":"Always full hours, i.e. minutes and seconds are 00"},{"datasetId":40,"dbColumn":"HourDK","dataType":"datetime","sortOrder":1,"displayName":"Hour DK","unit":"","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.\n\nWhen daylight saving times shifts there will be either 23 or 25 intervals.\n\nPlease note that the _format_ shown in the example applies to data downloaded as JSON or fetched through the API.\nThe 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.\n\n**In preview (in the GUI)** all timestamps are shown as (display convention)\nYYYY-MM-DD hh:mm\ne.g. 2017-07-14 08:00. \nPlease note that there is no time zone indicator, showing that this is local (Danish) time.\n\nIn **download (CSV and XLSX)** the datetime is exported as\nYYYY-MM-DD hh:mm\ne.g. 2017-07-14 08:00.\nThat is without the “T” and the seconds. Excel will recognize it as date-time. The user must remember that this is local (Danish) time.\n\nIn **download (JSON and API)** the datetime is exported as\nYYYY-MM-DDThh:mm:ss\ne.g. 2017-07-14T08:00:00.","example":"2017-07-14T08:00:00","columnSize":17.0,"validationRules":"Always full hours, i.e. minutes and seconds are 00"},{"datasetId":40,"dbColumn":"PriceArea","dataType":"string","sortOrder":2,"primaryKeyIndex":2,"displayName":"Price Area","unit":"","description":"Same as bidding zone. Denmark is divided in two price areas (bidding zones) divided by the Great Belt. DK1 is west of the Great Belt and DK2 is east of the Great Belt.","comment":"Some datasets contain a limited number of price areas.","example":"DK1","columnSize":3.0,"validationRules":"DK1, DK2, DE, NO2, SE3, SE4"},{"datasetId":40,"dbColumn":"ForecastType","dataType":"string","sortOrder":3,"primaryKeyIndex":3,"displayName":"Forecast Type","unit":"text","description":"Solar, Offshore Wind or Onshore wind","comment":"Offshore Wind only covers the offshore wind parks with a capacity above 100MW. Offshore wind parks with a lower capacity are included in Onshore Wind. ","example":"Solar","columnSize":20.0},{"datasetId":40,"dbColumn":"ForecastDayAhead","dataType":"number","sortOrder":4,"displayName":"Forecast Day Ahead","unit":"MWh per hour","description":"Forecast for the next day is published at 18:00 Danish time zone. The forecast is generated at 17:50 Danish time zone.","comment":"","example":"882,00","columnSize":9.2,"validationRules":">0"},{"datasetId":40,"dbColumn":"ForecastIntraday","dataType":"number","sortOrder":5,"displayName":"Forecast Intraday","unit":"MWh per hour","description":"The forecast for the coming day at 6am Danish time zone.  Also published at ENTSO-E tranparency platform.","comment":"","example":"345,00","columnSize":9.2,"validationRules":">0"},{"datasetId":40,"dbColumn":"Forecast5Hour","dataType":"number","sortOrder":6,"displayName":"Forecast 5 Hour","unit":"MWh per hour","description":"The forecast valid 5 hours ahead in time. ","comment":"Solar power forecasts are not updated between 6pm and 6am, hence there are no 5 hour forecast for solar power between 11pm and 11am. ","example":"345,00","columnSize":9.2,"validationRules":">0"},{"datasetId":40,"dbColumn":"Forecast1Hour","dataType":"number","sortOrder":7,"displayName":"Forecast 1 Hour","unit":"MWh per hour","description":"The forecast valid 1 hours ahead in time. ","comment":"Solar power forecasts are not updated between 6pm and 6am, hence there are no 1 hour forecast for solar power between 7pm and 7am. ","example":"34,00","columnSize":9.2,"validationRules":">0"},{"datasetId":40,"dbColumn":"ForecastCurrent","dataType":"number","sortOrder":8,"displayName":"Forecast Current","unit":"MWh per hour","description":"The forecast valid for the current time.  ","comment":"The timestamp shows when the forecast is generated.","example":"53,00","columnSize":9.2,"validationRules":">0"},{"datasetId":40,"dbColumn":"TimestampUTC","dataType":"datetime","sortOrder":9,"displayName":"Timestamp UTC","unit":"","description":"UTC timestamp at which the \"current forecast\" was done.","comment":"","example":"2017-07-14T08:03:00Z","columnSize":20.0},{"datasetId":40,"dbColumn":"TimestampDK","dataType":"datetime","sortOrder":10,"displayName":"Timestamp DK","unit":"","description":"Timestamp (in the _Danish time zone_) at which the \"current forecast\" was done.","comment":"","example":"2012-10-01T02:12:00","columnSize":19.0}],"tags":["Active","Every 5 minutes (PT5M)","Hour","Price Area"],"dataFrom":"2019-10-31T00:00:00","lastMetadataUpdate":"2026-05-28T10:39:44","published":"2020-01-01T00:00:00","active":true,"buildReport":false}