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{
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{
            
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  "author": "SSEN Distribution",
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  "author": "SSEN Distribution",
            
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  "author_email": "data@ssen.co.uk",
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  "author_email": "data@ssen.co.uk",
            
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  "conforms_to": "",
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  "conforms_to": "",
            
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  "contact_point": "data@ssen.co.uk",
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  "contact_point": "data@ssen.co.uk",
            
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  "contributor": "",
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  "contributor": "",
            
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  "creator_user_id": "73ad3721-ea1c-4101-987c-038ee91c9436",
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  "creator_user_id": "73ad3721-ea1c-4101-987c-038ee91c9436",
            
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  "date": "2023-10-09",
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  "date": "2023-10-09",
            
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  "groups": [
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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Asset Management",
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      "display_name": "Asset Management",
            
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      "id": "f7d682e2-3605-4f01-ac03-3cc80afb80e0",
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      "id": "f7d682e2-3605-4f01-ac03-3cc80afb80e0",
            
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      "image_display_url": 
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      "image_display_url": 
            
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/group/2023-09-29-174728.467794collections-asset-management-icon.svg",
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/group/2023-09-29-174728.467794collections-asset-management-icon.svg",
            
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      "name": "asset-management",
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      "name": "asset-management",
            
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      "title": "Asset Management"
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      "title": "Asset Management"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "Data Assets that provide analytical insight into 
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      "description": "Data Assets that provide analytical insight into 
            
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the data we provide.",
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the data we provide.",
            
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      "display_name": "Insights",
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      "display_name": "Insights",
            
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      "id": "310c24f5-4672-4782-883e-3d0d9291ce72",
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      "id": "310c24f5-4672-4782-883e-3d0d9291ce72",
            
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      "image_display_url": 
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      "image_display_url": 
            
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/uploads/group/2023-09-29-174744.310634collections-insights-icon.svg",
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/uploads/group/2023-09-29-174744.310634collections-insights-icon.svg",
            
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      "name": "insights",
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      "name": "insights",
            
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      "title": "Insights"
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      "title": "Insights"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Network Flexibility",
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      "display_name": "Network Flexibility",
            
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      "id": "8b598e28-e325-423c-9244-366edbf89642",
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      "id": "8b598e28-e325-423c-9244-366edbf89642",
            
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      "image_display_url": 
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      "image_display_url": 
            
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oup/2023-09-29-174822.047130collections-network-flexibility-icon.svg",
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oup/2023-09-29-174822.047130collections-network-flexibility-icon.svg",
            
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      "name": "another-collection",
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      "name": "another-collection",
            
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      "title": "Network Flexibility"
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      "title": "Network Flexibility"
            
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    }
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    }
            
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  ],
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  ],
            
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  "has_version": "",
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  "ib1_access": "",
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  "ib1_access": "",
            
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  "ib1_sensitivity_class": "IB1-O",
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  "ib1_sensitivity_class": "IB1-O",
            
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  "id": "9b7983cc-73cc-4428-aa92-717b34b8edf7",
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  "id": "9b7983cc-73cc-4428-aa92-717b34b8edf7",
            
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  "is_version_of": "",
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  "is_version_of": "",
            
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  "isopen": true,
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  "isopen": true,
            
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  "language": "EN",
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  "language": "EN",
            
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  "license_id": "CC-BY-4.0",
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  "license_id": "CC-BY-4.0",
            
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  "license_title": "Creative Commons Attribution 4.0",
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  "license_title": "Creative Commons Attribution 4.0",
            
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  "license_url": "https://creativecommons.org/licenses/by/4.0/",
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  "license_url": "https://creativecommons.org/licenses/by/4.0/",
            
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  "maintainer": "",
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  "maintainer": "",
            
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  "maintainer_email": "",
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  "maintainer_email": "",
            
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  "metadata_created": "2023-10-09T13:48:18.211450",
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  "metadata_created": "2023-10-09T13:48:18.211450",
            
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  "metadata_modified": "2023-10-09T15:04:23.782716",
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  "metadata_modified": "2023-10-09T15:04:48.226203",
            
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  "name": "ssen-transformer-load-model",
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  "name": "ssen-transformer-load-model",
            
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  "notes": "The load model is a machine learning product which 
54
  "notes": "The load model is a machine learning product which 
            
55
estimates a half-hourly annual demand profile for each household based 
55
estimates a half-hourly annual demand profile for each household based 
            
56
on a series of demographic, geographic & heating type factors. To 
56
on a series of demographic, geographic & heating type factors. To 
            
57
enable us to estimate capacity on the electricity network while 
57
enable us to estimate capacity on the electricity network while 
            
58
protecting individual customers data privacy by using modelled 
58
protecting individual customers data privacy by using modelled 
            
59
data.\r\n\r\nThese views are then aggregated up the networks hierarchy 
59
data.\r\n\r\nThese views are then aggregated up the networks hierarchy 
            
60
based on the combinations of customers associated with each asset. 
60
based on the combinations of customers associated with each asset. 
            
61
This view is supplemented with the forward distributed forward energy 
61
This view is supplemented with the forward distributed forward energy 
            
62
scenarios (DFES) which highlight the expected impact of low carbon 
62
scenarios (DFES) which highlight the expected impact of low carbon 
            
63
technology on the network (LCT) such as heat-pumps or electricity 
63
technology on the network (LCT) such as heat-pumps or electricity 
            
64
vehicles. The view demonstrated here represents a sample iteration of 
64
vehicles. The view demonstrated here represents a sample iteration of 
            
65
our evolving network capacity & load model - highlighting estimated 
65
our evolving network capacity & load model - highlighting estimated 
            
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peak usage against asset rating.",
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peak usage against asset rating.",
            
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  "num_resources": 3,
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  "num_resources": 3,
            
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  "num_tags": 3,
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  "num_tags": 3,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2023-08-01T09:55:16.285620",
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    "created": "2023-08-01T09:55:16.285620",
            
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    "description": "We are the electricity Distribution Network 
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    "description": "We are the electricity Distribution Network 
            
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Operator (DNO) responsible for delivering power to over 3.8 million 
73
Operator (DNO) responsible for delivering power to over 3.8 million 
            
74
homes and businesses across central southern England and the north of 
74
homes and businesses across central southern England and the north of 
            
75
Scotland. We serve some of the most diverse and unique geographies 
75
Scotland. We serve some of the most diverse and unique geographies 
            
76
across the UK, and keep customers and communities connected whilst 
76
across the UK, and keep customers and communities connected whilst 
            
77
developing the flexible electricity network vital to achieving net 
77
developing the flexible electricity network vital to achieving net 
            
78
zero.\r\n\r\nOur skilled teams are based right across the regions we 
78
zero.\r\n\r\nOur skilled teams are based right across the regions we 
            
79
serve, from the bustle of West London to the smallest villages in the 
79
serve, from the bustle of West London to the smallest villages in the 
            
80
Highlands and Islands of Scotland.  They are supported by engineering 
80
Highlands and Islands of Scotland.  They are supported by engineering 
            
81
and customer service teams based in major offices and depots in 
81
and customer service teams based in major offices and depots in 
            
82
centres like Reading, Portsmouth, Perth and Inverness.",
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centres like Reading, Portsmouth, Perth and Inverness.",
            
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    "id": "94936d51-7ac5-4be9-8b70-7afc372c50bf",
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    "id": "94936d51-7ac5-4be9-8b70-7afc372c50bf",
            
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    "image_url": "2023-08-01-095516.272590ssendistributionlogo-1.jpg",
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    "image_url": "2023-08-01-095516.272590ssendistributionlogo-1.jpg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "ssen-distribution",
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    "name": "ssen-distribution",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "SSEN Distribution",
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    "title": "SSEN Distribution",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "94936d51-7ac5-4be9-8b70-7afc372c50bf",
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  "owner_org": "94936d51-7ac5-4be9-8b70-7afc372c50bf",
            
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  "private": false,
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  "private": false,
            
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  "relation": "",
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  "relation": "",
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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      "cache_last_updated": null,
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      "cache_url": null,
            
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      "created": "2023-10-09T13:50:20.286503",
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      "created": "2023-10-09T13:50:20.286503",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "Downloadable Resource of the transformer load 
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      "description": "Downloadable Resource of the transformer load 
            
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model Data Set in Zipped CSV format.",
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model Data Set in Zipped CSV format.",
            
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      "format": "ZIP",
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      "format": "ZIP",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "dd789a86-0118-4e95-a119-57d763aa4a29",
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      "id": "dd789a86-0118-4e95-a119-57d763aa4a29",
            
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      "last_modified": "2023-10-09T13:50:20.219285",
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      "last_modified": "2023-10-09T13:50:20.219285",
            
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      "metadata_modified": "2023-10-09T15:04:23.794437",
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      "mimetype": null,
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Transformer Load Model Extract 9 Oct 2023",
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      "name": "Transformer Load Model Extract 9 Oct 2023",
            
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      "package_id": "9b7983cc-73cc-4428-aa92-717b34b8edf7",
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      "package_id": "9b7983cc-73cc-4428-aa92-717b34b8edf7",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_type": "regular",
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      "resource_type": "regular",
            
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      "schema": {
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      "schema": {
            
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        "fields": [
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        "fields": [
            
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          {
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          {
            
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            "description": "Organisation ID",
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            "description": "Organisation ID",
            
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            "example": "SEPD",
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            "example": "SEPD",
            
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            "name": "ORGID",
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            "name": "ORGID",
            
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            "title": "ORGID",
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            "title": "ORGID",
            
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            "type": "string"
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            "type": "string"
            
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          },
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          },
            
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          {
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          {
            
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            "description": "full nrn",
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            "description": "full nrn",
            
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            "example": "1000_001_120",
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            "example": "1000_001_120",
            
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            "name": "full_nrn",
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            "name": "full_nrn",
            
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            "title": "full_nrn",
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            "title": "full_nrn",
            
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            "type": "string"
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            "type": "string"
            
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          },
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          },
            
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          {
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          {
            
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            "description": "Primary NRN",
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            "description": "Primary NRN",
            
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            "example": "7616",
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            "example": "7616",
            
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            "name": "Primary_NRN",
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            "name": "Primary_NRN",
            
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            "title": "Primary_NRN",
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            "title": "Primary_NRN",
            
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t
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            "type": "string"
            
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          },
            
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          {
            
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            "description": "HV Feeder NRN",
            
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            "example": "614",
            
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            "name": "HV_Feeder_NRN",
            
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            "title": "HV_Feeder_NRN",
            
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            "type": "string"
            
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          },
            
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          {
            
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            "description": "Transformer NRN",
            
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            "example": "994",
            
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            "name": "Transformer_NRN",
            
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            "title": "Transformer_NRN",
            
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            "type": "string"
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            "type": "string"
            
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          }
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          }
            
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        ]
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        ]
            
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      },
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      },
            
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      "size": 153720010,
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      "size": 153720010,
            
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      "state": "active",
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      "state": "active",
            
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      "url": 
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      "url": 
            
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      "url_type": "upload"
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      "url_type": "upload"
            
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    },
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    },
            
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    {
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    {
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2023-10-09T14:16:27.442739",
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      "created": "2023-10-09T14:16:27.442739",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "The view displayed here, is based on 2023 
165
      "description": "The view displayed here, is based on 2023 
            
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baseline loading with the projected forward DFES out to 2050. While 
166
baseline loading with the projected forward DFES out to 2050. While 
            
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many assets are showing as becoming overloaded over time, in reality 
167
many assets are showing as becoming overloaded over time, in reality 
            
154
we have extensive reinforcement & replacement planned on the network 
168
we have extensive reinforcement & replacement planned on the network 
            
155
which is not represented in this view.\r\n\r\nBaseline demand is fixed 
169
which is not represented in this view.\r\n\r\nBaseline demand is fixed 
            
156
across the entire duration & does not reflect expect long term 
170
across the entire duration & does not reflect expect long term 
            
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macro-economic or underline volume trends)",
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macro-economic or underline volume trends)",
            
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      "format": "Power BI",
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      "format": "Power BI",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "10616ae3-e018-4aae-a68c-46e29bed31a9",
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      "metadata_modified": "2023-10-09T15:01:01.243098",
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      "mimetype": null,
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Load Model External Web Link",
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      "name": "Load Model External Web Link",
            
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      "package_id": "9b7983cc-73cc-4428-aa92-717b34b8edf7",
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      "package_id": "9b7983cc-73cc-4428-aa92-717b34b8edf7",
            
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      "position": 1,
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      "state": "active",
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      "state": "active",
            
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      "url": 
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      "url": 
            
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      "url_type": ""
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    },
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    {
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      "cache_url": null,
            
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      "created": "2023-10-09T15:01:01.261571",
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      "created": "2023-10-09T15:01:01.261571",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "A single row CSV showing the format of the 
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      "description": "A single row CSV showing the format of the 
            
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accompanying transformer load model download file.",
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accompanying transformer load model download file.",
            
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      "format": "CSV",
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      "format": "CSV",
            
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