Changes
On October 9, 2023 at 2:56:38 PM UTC,
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Set format of resource Load Model External Web Link to Power BI in SSEN Transformer Load Model
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Updated description of resource Load Model External Web Link in SSEN Transformer Load Model from
Link to the external published PowerBI report for the Transfomer Load Model
to"The view displayed here, is based on 2023 baseline loading with the projected forward DFES out to 2050. While many assets are showing as becoming overloaded over time, in reality we have extensive reinforcement & replacement planned on the network which is not represented in this view. Baseline demand is fixed across the entire duration & does not reflect expect long term macro-economic or underline volume trends)
| f | 1 | { | f | 1 | { |
| 2 | "author": "SSEN Distribution", | 2 | "author": "SSEN Distribution", | ||
| 3 | "author_email": "data@ssen.co.uk", | 3 | "author_email": "data@ssen.co.uk", | ||
| 4 | "conforms_to": "", | 4 | "conforms_to": "", | ||
| 5 | "contact_point": "data@ssen.co.uk", | 5 | "contact_point": "data@ssen.co.uk", | ||
| 6 | "contributor": "", | 6 | "contributor": "", | ||
| 7 | "creator_user_id": "73ad3721-ea1c-4101-987c-038ee91c9436", | 7 | "creator_user_id": "73ad3721-ea1c-4101-987c-038ee91c9436", | ||
| 8 | "date": "2023-10-09", | 8 | "date": "2023-10-09", | ||
| 9 | "groups": [ | 9 | "groups": [ | ||
| 10 | { | 10 | { | ||
| 11 | "description": "", | 11 | "description": "", | ||
| 12 | "display_name": "Asset Management", | 12 | "display_name": "Asset Management", | ||
| 13 | "id": "f7d682e2-3605-4f01-ac03-3cc80afb80e0", | 13 | "id": "f7d682e2-3605-4f01-ac03-3cc80afb80e0", | ||
| 14 | "image_display_url": | 14 | "image_display_url": | ||
| 15 | /group/2023-09-29-174728.467794collections-asset-management-icon.svg", | 15 | /group/2023-09-29-174728.467794collections-asset-management-icon.svg", | ||
| 16 | "name": "asset-management", | 16 | "name": "asset-management", | ||
| 17 | "title": "Asset Management" | 17 | "title": "Asset Management" | ||
| 18 | }, | 18 | }, | ||
| 19 | { | 19 | { | ||
| 20 | "description": "", | 20 | "description": "", | ||
| 21 | "display_name": "Network Flexibility", | 21 | "display_name": "Network Flexibility", | ||
| 22 | "id": "8b598e28-e325-423c-9244-366edbf89642", | 22 | "id": "8b598e28-e325-423c-9244-366edbf89642", | ||
| 23 | "image_display_url": | 23 | "image_display_url": | ||
| 24 | oup/2023-09-29-174822.047130collections-network-flexibility-icon.svg", | 24 | oup/2023-09-29-174822.047130collections-network-flexibility-icon.svg", | ||
| 25 | "name": "another-collection", | 25 | "name": "another-collection", | ||
| 26 | "title": "Network Flexibility" | 26 | "title": "Network Flexibility" | ||
| 27 | } | 27 | } | ||
| 28 | ], | 28 | ], | ||
| 29 | "has_version": "", | 29 | "has_version": "", | ||
| 30 | "ib1_access": "", | 30 | "ib1_access": "", | ||
| 31 | "ib1_sensitivity_class": "IB1-O", | 31 | "ib1_sensitivity_class": "IB1-O", | ||
| 32 | "id": "9b7983cc-73cc-4428-aa92-717b34b8edf7", | 32 | "id": "9b7983cc-73cc-4428-aa92-717b34b8edf7", | ||
| 33 | "is_version_of": "", | 33 | "is_version_of": "", | ||
| 34 | "isopen": true, | 34 | "isopen": true, | ||
| 35 | "language": "EN", | 35 | "language": "EN", | ||
| 36 | "license_id": "CC-BY-4.0", | 36 | "license_id": "CC-BY-4.0", | ||
| 37 | "license_title": "Creative Commons Attribution 4.0", | 37 | "license_title": "Creative Commons Attribution 4.0", | ||
| 38 | "license_url": "https://creativecommons.org/licenses/by/4.0/", | 38 | "license_url": "https://creativecommons.org/licenses/by/4.0/", | ||
| 39 | "maintainer": "", | 39 | "maintainer": "", | ||
| 40 | "maintainer_email": "", | 40 | "maintainer_email": "", | ||
| 41 | "metadata_created": "2023-10-09T13:48:18.211450", | 41 | "metadata_created": "2023-10-09T13:48:18.211450", | ||
| n | 42 | "metadata_modified": "2023-10-09T14:55:48.049000", | n | 42 | "metadata_modified": "2023-10-09T14:56:38.196399", |
| 43 | "name": "ssen-transformer-load-model", | 43 | "name": "ssen-transformer-load-model", | ||
| 44 | "notes": "The load model is a machine learning product which | 44 | "notes": "The load model is a machine learning product which | ||
| 45 | estimates a half-hourly annual demand profile for each household based | 45 | estimates a half-hourly annual demand profile for each household based | ||
| 46 | on a series of demographic, geographic & heating type factors. To | 46 | on a series of demographic, geographic & heating type factors. To | ||
| 47 | enable us to estimate capacity on the electricity network while | 47 | enable us to estimate capacity on the electricity network while | ||
| 48 | protecting individual customers data privacy by using modelled | 48 | protecting individual customers data privacy by using modelled | ||
| 49 | data.\r\n\r\nThese views are then aggregated up the networks hierarchy | 49 | data.\r\n\r\nThese views are then aggregated up the networks hierarchy | ||
| 50 | based on the combinations of customers associated with each asset. | 50 | based on the combinations of customers associated with each asset. | ||
| 51 | This view is supplemented with the forward distributed forward energy | 51 | This view is supplemented with the forward distributed forward energy | ||
| 52 | scenarios (DFES) which highlight the expected impact of low carbon | 52 | scenarios (DFES) which highlight the expected impact of low carbon | ||
| 53 | technology on the network (LCT) such as heat-pumps or electricity | 53 | technology on the network (LCT) such as heat-pumps or electricity | ||
| 54 | vehicles. The view demonstrated here represents a sample iteration of | 54 | vehicles. The view demonstrated here represents a sample iteration of | ||
| 55 | our evolving network capacity & load model - highlighting estimated | 55 | our evolving network capacity & load model - highlighting estimated | ||
| 56 | peak usage against asset rating.", | 56 | peak usage against asset rating.", | ||
| 57 | "num_resources": 2, | 57 | "num_resources": 2, | ||
| 58 | "num_tags": 3, | 58 | "num_tags": 3, | ||
| 59 | "organization": { | 59 | "organization": { | ||
| 60 | "approval_status": "approved", | 60 | "approval_status": "approved", | ||
| 61 | "created": "2023-08-01T09:55:16.285620", | 61 | "created": "2023-08-01T09:55:16.285620", | ||
| 62 | "description": "We are the electricity Distribution Network | 62 | "description": "We are the electricity Distribution Network | ||
| 63 | Operator (DNO) responsible for delivering power to over 3.8 million | 63 | Operator (DNO) responsible for delivering power to over 3.8 million | ||
| 64 | homes and businesses across central southern England and the north of | 64 | homes and businesses across central southern England and the north of | ||
| 65 | Scotland. We serve some of the most diverse and unique geographies | 65 | Scotland. We serve some of the most diverse and unique geographies | ||
| 66 | across the UK, and keep customers and communities connected whilst | 66 | across the UK, and keep customers and communities connected whilst | ||
| 67 | developing the flexible electricity network vital to achieving net | 67 | developing the flexible electricity network vital to achieving net | ||
| 68 | zero.\r\n\r\nOur skilled teams are based right across the regions we | 68 | zero.\r\n\r\nOur skilled teams are based right across the regions we | ||
| 69 | serve, from the bustle of West London to the smallest villages in the | 69 | serve, from the bustle of West London to the smallest villages in the | ||
| 70 | Highlands and Islands of Scotland. They are supported by engineering | 70 | Highlands and Islands of Scotland. They are supported by engineering | ||
| 71 | and customer service teams based in major offices and depots in | 71 | and customer service teams based in major offices and depots in | ||
| 72 | centres like Reading, Portsmouth, Perth and Inverness.", | 72 | centres like Reading, Portsmouth, Perth and Inverness.", | ||
| 73 | "id": "94936d51-7ac5-4be9-8b70-7afc372c50bf", | 73 | "id": "94936d51-7ac5-4be9-8b70-7afc372c50bf", | ||
| 74 | "image_url": "2023-08-01-095516.272590ssendistributionlogo-1.jpg", | 74 | "image_url": "2023-08-01-095516.272590ssendistributionlogo-1.jpg", | ||
| 75 | "is_organization": true, | 75 | "is_organization": true, | ||
| 76 | "name": "ssen-distribution", | 76 | "name": "ssen-distribution", | ||
| 77 | "state": "active", | 77 | "state": "active", | ||
| 78 | "title": "SSEN Distribution", | 78 | "title": "SSEN Distribution", | ||
| 79 | "type": "organization" | 79 | "type": "organization" | ||
| 80 | }, | 80 | }, | ||
| 81 | "owner_org": "94936d51-7ac5-4be9-8b70-7afc372c50bf", | 81 | "owner_org": "94936d51-7ac5-4be9-8b70-7afc372c50bf", | ||
| 82 | "private": false, | 82 | "private": false, | ||
| 83 | "relation": "", | 83 | "relation": "", | ||
| 84 | "relationships_as_object": [], | 84 | "relationships_as_object": [], | ||
| 85 | "relationships_as_subject": [], | 85 | "relationships_as_subject": [], | ||
| 86 | "resources": [ | 86 | "resources": [ | ||
| 87 | { | 87 | { | ||
| 88 | "cache_last_updated": null, | 88 | "cache_last_updated": null, | ||
| 89 | "cache_url": null, | 89 | "cache_url": null, | ||
| 90 | "created": "2023-10-09T13:50:20.286503", | 90 | "created": "2023-10-09T13:50:20.286503", | ||
| 91 | "datastore_active": false, | 91 | "datastore_active": false, | ||
| 92 | "description": "Downloadable Resource of the transformer load | 92 | "description": "Downloadable Resource of the transformer load | ||
| 93 | model Data Set in Zipped CSV format.", | 93 | model Data Set in Zipped CSV format.", | ||
| 94 | "format": "ZIP", | 94 | "format": "ZIP", | ||
| 95 | "hash": "", | 95 | "hash": "", | ||
| 96 | "id": "dd789a86-0118-4e95-a119-57d763aa4a29", | 96 | "id": "dd789a86-0118-4e95-a119-57d763aa4a29", | ||
| 97 | "last_modified": "2023-10-09T13:50:20.219285", | 97 | "last_modified": "2023-10-09T13:50:20.219285", | ||
| 98 | "metadata_modified": "2023-10-09T14:16:27.437138", | 98 | "metadata_modified": "2023-10-09T14:16:27.437138", | ||
| 99 | "mimetype": null, | 99 | "mimetype": null, | ||
| 100 | "mimetype_inner": null, | 100 | "mimetype_inner": null, | ||
| 101 | "name": "Transformer Load Model Extract 9 Oct 2023", | 101 | "name": "Transformer Load Model Extract 9 Oct 2023", | ||
| 102 | "package_id": "9b7983cc-73cc-4428-aa92-717b34b8edf7", | 102 | "package_id": "9b7983cc-73cc-4428-aa92-717b34b8edf7", | ||
| 103 | "position": 0, | 103 | "position": 0, | ||
| 104 | "resource_type": "regular", | 104 | "resource_type": "regular", | ||
| 105 | "size": 153720010, | 105 | "size": 153720010, | ||
| 106 | "state": "active", | 106 | "state": "active", | ||
| 107 | "url": | 107 | "url": | ||
| 108 | 8667936932343367-539692e8-4a07-4a8d-89f3-1afa0b7aaea4-441-1-c000.zip", | 108 | 8667936932343367-539692e8-4a07-4a8d-89f3-1afa0b7aaea4-441-1-c000.zip", | ||
| 109 | "url_type": "upload" | 109 | "url_type": "upload" | ||
| 110 | }, | 110 | }, | ||
| 111 | { | 111 | { | ||
| 112 | "cache_last_updated": null, | 112 | "cache_last_updated": null, | ||
| 113 | "cache_url": null, | 113 | "cache_url": null, | ||
| 114 | "created": "2023-10-09T14:16:27.442739", | 114 | "created": "2023-10-09T14:16:27.442739", | ||
| 115 | "datastore_active": false, | 115 | "datastore_active": false, | ||
| n | 116 | "description": "Link to the external published PowerBI report | n | 116 | "description": "\"The view displayed here, is based on 2023 |
| 117 | for the Transfomer Load Model", | 117 | baseline loading with the projected forward DFES out to 2050. While | ||
| 118 | many assets are showing as becoming overloaded over time, in reality | ||||
| 119 | we have extensive reinforcement & replacement planned on the network | ||||
| 120 | which is not represented in this view.\r\n\r\nBaseline demand is fixed | ||||
| 121 | across the entire duration & does not reflect expect long term | ||||
| 122 | macro-economic or underline volume trends)", | ||||
| 118 | "format": "", | 123 | "format": "Power BI", | ||
| 119 | "hash": "", | 124 | "hash": "", | ||
| 120 | "id": "10616ae3-e018-4aae-a68c-46e29bed31a9", | 125 | "id": "10616ae3-e018-4aae-a68c-46e29bed31a9", | ||
| 121 | "last_modified": null, | 126 | "last_modified": null, | ||
| t | 122 | "metadata_modified": "2023-10-09T14:16:27.437471", | t | 127 | "metadata_modified": "2023-10-09T14:56:38.204181", |
| 123 | "mimetype": null, | 128 | "mimetype": null, | ||
| 124 | "mimetype_inner": null, | 129 | "mimetype_inner": null, | ||
| 125 | "name": "Load Model External Web Link", | 130 | "name": "Load Model External Web Link", | ||
| 126 | "package_id": "9b7983cc-73cc-4428-aa92-717b34b8edf7", | 131 | "package_id": "9b7983cc-73cc-4428-aa92-717b34b8edf7", | ||
| 127 | "position": 1, | 132 | "position": 1, | ||
| 128 | "resource_type": "regular", | 133 | "resource_type": "regular", | ||
| 129 | "size": null, | 134 | "size": null, | ||
| 130 | "state": "active", | 135 | "state": "active", | ||
| 131 | "url": | 136 | "url": | ||
| 132 | IiwidCI6Ijk1M2IwZjgzLTFjZTYtNDVjMy04MmM5LTFkODQ3ZTM3MjMzOSIsImMiOjh9", | 137 | IiwidCI6Ijk1M2IwZjgzLTFjZTYtNDVjMy04MmM5LTFkODQ3ZTM3MjMzOSIsImMiOjh9", | ||
| 133 | "url_type": "" | 138 | "url_type": "" | ||
| 134 | } | 139 | } | ||
| 135 | ], | 140 | ], | ||
| 136 | "source": "REGEN", | 141 | "source": "REGEN", | ||
| 137 | "state": "active", | 142 | "state": "active", | ||
| 138 | "tags": [ | 143 | "tags": [ | ||
| 139 | { | 144 | { | ||
| 140 | "display_name": "Asset", | 145 | "display_name": "Asset", | ||
| 141 | "id": "23bcfcff-7ff0-4b75-a7c5-bb9176146fb5", | 146 | "id": "23bcfcff-7ff0-4b75-a7c5-bb9176146fb5", | ||
| 142 | "name": "Asset", | 147 | "name": "Asset", | ||
| 143 | "state": "active", | 148 | "state": "active", | ||
| 144 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
| 145 | }, | 150 | }, | ||
| 146 | { | 151 | { | ||
| 147 | "display_name": "Distribution Future Energy Scenarios", | 152 | "display_name": "Distribution Future Energy Scenarios", | ||
| 148 | "id": "949c75c5-f5ad-4912-a092-f742370a0916", | 153 | "id": "949c75c5-f5ad-4912-a092-f742370a0916", | ||
| 149 | "name": "Distribution Future Energy Scenarios", | 154 | "name": "Distribution Future Energy Scenarios", | ||
| 150 | "state": "active", | 155 | "state": "active", | ||
| 151 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
| 152 | }, | 157 | }, | ||
| 153 | { | 158 | { | ||
| 154 | "display_name": "Energy Data", | 159 | "display_name": "Energy Data", | ||
| 155 | "id": "7e8a4486-1f9c-4fb9-8224-c76b96501f71", | 160 | "id": "7e8a4486-1f9c-4fb9-8224-c76b96501f71", | ||
| 156 | "name": "Energy Data", | 161 | "name": "Energy Data", | ||
| 157 | "state": "active", | 162 | "state": "active", | ||
| 158 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
| 159 | } | 164 | } | ||
| 160 | ], | 165 | ], | ||
| 161 | "title": "SSEN Transformer Load Model", | 166 | "title": "SSEN Transformer Load Model", | ||
| 162 | "type": "dataset", | 167 | "type": "dataset", | ||
| 163 | "url": null, | 168 | "url": null, | ||
| 164 | "version": "" | 169 | "version": "" | ||
| 165 | } | 170 | } |