Regional Breakdown of 2023 FES: Demand (Active Power)

Forecast data from 2022-2050 of active power of the FES dataset (electricity only), showing regional results. Active power is measured in MW.

CKAN Data API

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

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

Query
`https://api.neso.energy/api/3/action/datastore_search`
Query (via SQL)
`https://api.neso.energy/api/3/action/datastore_search_sql`

Query example (first 5 results)
`https://api.neso.energy/api/3/action/datastore_search?resource_id=66d309b9-0202-48ad-a7dc-eeafd9f53a65&limit=5`
Query example (via SQL statement)
`https://api.neso.energy/api/3/action/datastore_search_sql?sql=SELECT * from "66d309b9-0202-48ad-a7dc-eeafd9f53a65" LIMIT 5`

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

var data = {
  resource_id: '66d309b9-0202-48ad-a7dc-eeafd9f53a65', // the resource id
  limit: 5 // get 5 results
};
$.ajax({
  url: 'https://api.neso.energy/api/3/action/datastore_search',
  data: data,
  dataType: 'jsonp',
  success: function(data) {
    alert('Total results found: ' + data.result.total)
  }
});

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

import urllib2
  url = 'https://api.neso.energy/api/3/action/datastore_search?resource_id=66d309b9-0202-48ad-a7dc-eeafd9f53a65&limit=5'
  fileobj = urllib2.urlopen(url)
  print fileobj.read()

Download (CSV)

Data Explorer

Table Information

scenario

Title	FES Scenario
Type	string
Description	The scenario to which this data corresponds.
Comment	LW: Leading the Way CT: Consumer Transformation ST: System Transformation SP: Steady Progression
Example	SP
Unit	N/A

GSP

Title	Location
Type	string
Description	Mix of grid supply points as registered with Elexon and direct connect sites.
Comment
Example	ABHA1
Unit	N/A

DemandPk

Title	Peak Demand
Type	number
Description	Expected demand at the specified location at the time of the highest total demand for the nation.
Comment	Winter Peak is a view of peak demand between the hours of 17:00 and 18:00 – typically November-February on a week day
Example	82.07
Unit	MW

DemandAM

Title	Minimum Demand (Summer Morning)
Type	number
Description	Expected demand at the specified location at the time of the lowest total demand for the nation
Comment	Summer Minimum AM is a view of demand between 0500-0600, typically in June-August on a Summer Sunday morning.
Example	33.379
Unit	MW

DemandPM

Title	Minimum Demand (Summer Afternoon)
Type	number
Description	Expected demand at the specified location at the lowest summer afternoon national demand.
Comment	Summer Minimum PM is a view of demand between 13:00-1400, typically June-August, Summer Sunday afternoon. This period is interesting to study as, whilst not being as low as the morning demand, high solar output will create a low demand on the transmission network.
Example	47.38
Unit	MW

type

Title	Type
Type	string
Description	Type of active power demand, indicated by a single character code
Comment	R = Residential E = Electric Vehicles C = Commercial I = Industrial H = Heat pumps D = District heat T = Transmission direct connects Z = Electrolysers
Example	c
Unit	N/A

year

Title	Year
Type	number
Description	Two character value indicating the fiscal year that this data relates to i.e. "25" = 2025/26, "50" = 2050/51.
Comment	Fiscal year is taken as starting 1st April and running until 31st March the following year.
Example	20
Unit	N/A

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Regional Breakdown of 2023 FES: Demand (Active Power)

CKAN Data API

Data Explorer

Data Explorer

Table Information

scenario

GSP

DemandPk

DemandAM

DemandPM

type

year