@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix ib1: <http://registry.ib1.org/ns/1.0/#> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

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    dct:description """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.\r
\r
Baseline demand is fixed across the entire duration & does not reflect expect long term macro-economic or underline volume trends)""" ;
    dct:format "Power BI" ;
    dct:issued "2023-10-09T14:16:27.442739"^^xsd:dateTime ;
    dct:language "EN" ;
    dct:license <https://creativecommons.org/licenses/by/4.0/> ;
    dct:modified "2023-10-09T15:01:01.243098"^^xsd:dateTime ;
    dct:source "REGEN" ;
    dct:title "Load Model External Web Link" ;
    dcat:accessURL <https://app.powerbi.com/view?r=eyJrIjoiYzBmN2Q2MzYtYzE3MS00ODkxLWE5OWMtZTQ2MjBlMDljMDk4IiwidCI6Ijk1M2IwZjgzLTFjZTYtNDVjMy04MmM5LTFkODQ3ZTM3MjMzOSIsImMiOjh9> .

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    dct:SizeOrDuration 1.5372e+02 ;
    dct:description "Downloadable Resource of the transformer load model Data Set in Zipped CSV format." ;
    dct:format "ZIP" ;
    dct:issued "2023-10-09T13:50:20.286503"^^xsd:dateTime ;
    dct:language "EN" ;
    dct:license <https://creativecommons.org/licenses/by/4.0/> ;
    dct:modified "2023-10-09T15:12:55.406802"^^xsd:dateTime ;
    dct:source "REGEN" ;
    dct:title "Transformer Load Model Extract 9 Oct 2023" ;
    dcat:accessURL <https://ckan-dev.sse.datopian.com/dataset/9b7983cc-73cc-4428-aa92-717b34b8edf7/resource/dd789a86-0118-4e95-a119-57d763aa4a29/download/part-00000-tid-4318667936932343367-539692e8-4a07-4a8d-89f3-1afa0b7aaea4-441-1-c000.zip> ;
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<https://portal-dev.sse.datopian.com/@ssen-distribution/ssen-transformer-load-model/r/e9aa1a92-8e83-4787-81ab-052e827263a2> a dcat:Distribution ;
    dct:SizeOrDuration 5.31e-04 ;
    dct:description "A single row CSV showing the format of the accompanying transformer load model download file." ;
    dct:format "CSV" ;
    dct:issued "2023-10-09T15:01:01.261571"^^xsd:dateTime ;
    dct:language "EN" ;
    dct:license <https://creativecommons.org/licenses/by/4.0/> ;
    dct:modified "2023-10-09T15:16:31.753005"^^xsd:dateTime ;
    dct:source "REGEN" ;
    dct:title "Transformer Load Model Schema" ;
    dcat:accessURL <https://ckan-dev.sse.datopian.com/dataset/9b7983cc-73cc-4428-aa92-717b34b8edf7/resource/e9aa1a92-8e83-4787-81ab-052e827263a2/download/tx_load_model_schema.csv> ;
    dcat:byteSize 531.0 .

<https://portal-dev.sse.datopian.com/organization/94936d51-7ac5-4be9-8b70-7afc372c50bf> a foaf:Organization ;
    foaf:name "SSEN Distribution" .

<https://portal-dev.sse.datopian.com/@ssen-distribution/ssen-transformer-load-model> a dcat:Dataset ;
    dct:accessRights "Creative Commons Attribution 4.0" ;
    dct:coverage "[{\"location_name\": \"SEPD Licence Area\", \"name\": \"SEPD\", \"type\": \"spatial\"}]" ;
    dct:creator "SSEN Distribution" ;
    dct:date "2024-05-01" ;
    dct:description """The load model is a machine learning product which estimates a half-hourly annual demand profile for each household based on a series of demographic, geographic & heating type factors. To enable us to estimate capacity on the electricity network while protecting individual customers data privacy by using modelled data.\r
\r
These views are then aggregated up the networks hierarchy based on the combinations of customers associated with each asset. This view is supplemented with the forward distributed forward energy scenarios (DFES) which highlight the expected impact of low carbon technology on the network (LCT) such as heat-pumps or electricity vehicles. The view demonstrated here represents a sample iteration of our evolving network capacity & load model - highlighting estimated peak usage against asset rating.""" ;
    dct:format "Power BI",
        "ZIP" ;
    dct:identifier <https://portal-dev.sse.datopian.com/@ssen-distribution/ssen-transformer-load-model> ;
    dct:issued "2023-10-09T13:48:18.211450"^^xsd:dateTime ;
    dct:language "EN" ;
    dct:modified "2024-05-01T11:54:23.997797"^^xsd:dateTime ;
    dct:publisher <https://portal-dev.sse.datopian.com/organization/94936d51-7ac5-4be9-8b70-7afc372c50bf>,
        "SSEN Distribution" ;
    dct:source "REGEN" ;
    dct:subject "Asset",
        "Distribution Future Energy Scenarios",
        "Energy Data" ;
    dct:temporal "2024-05-01" ;
    dct:title "SSEN Secondary Transformer - Asset Capacity and Low Carbon Technology Growth" ;
    dct:type "Asset Management",
        "Insights",
        "Network Flexibility" ;
    ib1:sensitivityClass "IB1-O" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "SSEN Distribution" ;
            vcard:hasEmail <mailto:data@ssen.co.uk> ],
        "data@ssen.co.uk" ;
    dcat:distribution <https://portal-dev.sse.datopian.com/@ssen-distribution/ssen-transformer-load-model/r/10616ae3-e018-4aae-a68c-46e29bed31a9>,
        <https://portal-dev.sse.datopian.com/@ssen-distribution/ssen-transformer-load-model/r/dd789a86-0118-4e95-a119-57d763aa4a29>,
        <https://portal-dev.sse.datopian.com/@ssen-distribution/ssen-transformer-load-model/r/e9aa1a92-8e83-4787-81ab-052e827263a2> ;
    dcat:keyword "Asset",
        "Distribution Future Energy Scenarios",
        "Energy Data" ;
    dcat:landingPage <https://portal-dev.sse.datopian.com/@ssen-distribution/ssen-transformer-load-model> .