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{
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{
            
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  "author": "Luh, Matthias",
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  "author": "Luh, Matthias",
            
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  "author_email": "",
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  "author_email": "",
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "doi": "10.35097/1305",
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  "doi": "10.35097/1305",
            
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  "doi_date_published": "2023",
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  "doi_date_published": "2023",
            
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  "doi_publisher": "",
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  "doi_publisher": "",
            
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  "doi_status": "True",
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  "doi_status": "True",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Phipps, Kaleb",
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      "extra_author": "Phipps, Kaleb",
            
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      "orcid": "0000-0002-9197-1739"
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      "orcid": "0000-0002-9197-1739"
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Britto, Anthony",
15
      "extra_author": "Britto, Anthony",
            
16
      "orcid": "0000-0002-5799-3248"
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      "orcid": "0000-0002-5799-3248"
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Wolf, Matthias",
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      "extra_author": "Wolf, Matthias",
            
20
      "orcid": "0000-0003-1411-6330"
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      "orcid": "0000-0003-1411-6330"
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Lutz, Marek",
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      "extra_author": "Lutz, Marek",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Kraft, Johann",
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      "extra_author": "Kraft, Johann",
            
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      "orcid": "0000-0002-8888-7878"
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      "orcid": "0000-0002-8888-7878"
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [],
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  "groups": [],
            
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  "id": "f13763ef-5828-4861-baaf-de3b3636d69c",
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  "id": "f13763ef-5828-4861-baaf-de3b3636d69c",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "CC BY 4.0 Attribution",
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  "license_id": "CC BY 4.0 Attribution",
            
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  "license_title": "CC BY 4.0 Attribution",
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  "license_title": "CC BY 4.0 Attribution",
            
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  "metadata_created": "2023-08-04T08:50:29.876420",
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  "metadata_created": "2023-08-04T08:50:29.876420",
            
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  "metadata_modified": "2023-08-04T08:50:29.876426",
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  "metadata_modified": "2023-08-04T08:51:56.222322",
            
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  "name": "rdr-doi-10-35097-1305",
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  "name": "rdr-doi-10-35097-1305",
            
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  "notes": "Abstract: Microgrids are a promising solution for 
39
  "notes": "Abstract: Microgrids are a promising solution for 
            
40
providing electricity access to rural populations in the Global South. 
40
providing electricity access to rural populations in the Global South. 
            
41
To ensure such microgrids are affordable and effective, careful 
41
To ensure such microgrids are affordable and effective, careful 
            
42
planning and dimensioning is required. Numerous tools exist to assist 
42
planning and dimensioning is required. Numerous tools exist to assist 
            
43
with this planning and dimensioning, however, they generally require 
43
with this planning and dimensioning, however, they generally require 
            
44
microgrid electricity data, such as load profiles, as an input. 
44
microgrid electricity data, such as load profiles, as an input. 
            
45
Unfortunately, such electricity data is scarce for microgrids in the 
45
Unfortunately, such electricity data is scarce for microgrids in the 
            
46
Global South and the little data that is available has a low temporal 
46
Global South and the little data that is available has a low temporal 
            
47
resolution. Therefore, we introduce high resolution real-world 
47
resolution. Therefore, we introduce high resolution real-world 
            
48
electricity data from three microgrids in the global south. The data 
48
electricity data from three microgrids in the global south. The data 
            
49
is collected from microgrids in the Democratic Republic of Congo, 
49
is collected from microgrids in the Democratic Republic of Congo, 
            
50
Rwanda, and Haiti, and has a temporal resolution of up to five 
50
Rwanda, and Haiti, and has a temporal resolution of up to five 
            
51
seconds. Furthermore, we include data from both residential and 
51
seconds. Furthermore, we include data from both residential and 
            
52
industrial microgrids, and consider microgrids with renewable 
52
industrial microgrids, and consider microgrids with renewable 
            
53
generation from hydropower and photovoltaic arrays. We describe and 
53
generation from hydropower and photovoltaic arrays. We describe and 
            
54
analyse the characteristics of the recorded data and show how it can 
54
analyse the characteristics of the recorded data and show how it can 
            
55
be used to derive flexible load profiles with varying temporal 
55
be used to derive flexible load profiles with varying temporal 
            
56
resolutions, useful for affordable microgrid planning and 
56
resolutions, useful for affordable microgrid planning and 
            
57
dimensioning.\r\nTechnicalRemarks: This dataset was published as part 
57
dimensioning.\r\nTechnicalRemarks: This dataset was published as part 
            
58
of a paper submitted at the \"International Workshop on Energy Data 
58
of a paper submitted at the \"International Workshop on Energy Data 
            
59
and Analytics\" at ACM e-Energy 2022 with the title \"High Resolution 
59
and Analytics\" at ACM e-Energy 2022 with the title \"High Resolution 
            
60
Real-World Electricity Data from Three Microgrids in the Global 
60
Real-World Electricity Data from Three Microgrids in the Global 
            
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South\" in which the data set is described. Further explanations can 
61
South\" in which the data set is described. Further explanations can 
            
62
be found in the file \"Symbols_Units_Explanations\".",
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be found in the file \"Symbols_Units_Explanations\".",
            
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  "num_resources": 0,
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  "num_resources": 0,
            
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  "num_tags": 15,
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  "num_tags": 15,
            
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  "orcid": "0000-0003-4731-2207",
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  "orcid": "0000-0003-4731-2207",
            
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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": "2023-01-12T13:30:23.238233",
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    "created": "2023-01-12T13:30:23.238233",
            
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    "description": "RADAR (Research Data Repository) is a 
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    "description": "RADAR (Research Data Repository) is a 
            
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cross-disciplinary repository for archiving and publishing research 
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cross-disciplinary repository for archiving and publishing research 
            
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data from completed scientific studies and projects. The focus is on 
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data from completed scientific studies and projects. The focus is on 
            
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research data from subjects that do not yet have their own 
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research data from subjects that do not yet have their own 
            
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discipline-specific infrastructures for research data management. ",
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discipline-specific infrastructures for research data management. ",
            
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    "image_url": "radar-logo.svg",
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    "image_url": "radar-logo.svg",
            
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    "is_organization": true,
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    "name": "radar",
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    "name": "radar",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "RADAR",
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    "title": "RADAR",
            
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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": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
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  "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
            
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  "private": false,
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  "private": false,
            
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  "production_year": "2022",
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  "production_year": "2022",
            
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  "publication_year": "2023",
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  "publication_year": "2023",
            
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  "publishers": [
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  "publishers": [
            
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    {
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    {
            
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      "publisher": "Karlsruhe Institute of Technology"
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      "publisher": "Karlsruhe Institute of Technology"
            
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    }
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    }
            
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  ],
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  "repository_name": "RADAR (Research Data Repository)",
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  "repository_name": "RADAR (Research Data Repository)",
            
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  "source_metadata_created": "2023",
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      "subject_area_name": "Engineering"
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      "subject_area_name": "Engineering"
            
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  ],
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  "tags": [
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  "tags": [
            
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    {
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      "display_name": "Africa",
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      "display_name": "Africa",
            
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      "id": "39761a47-fd7f-49c8-b4b0-b160d52354c5",
            
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      "display_name": "DR Congo",
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      "display_name": "DR Congo",
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Haiti",
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      "display_name": "Haiti",
            
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      "id": "c4aedbe3-92ce-4343-8fce-befad3bb66f5",
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      "id": "c4aedbe3-92ce-4343-8fce-befad3bb66f5",
            
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      "name": "Haiti",
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    },
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    },
            
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    {
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      "display_name": "Hydropower",
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      "display_name": "Hydropower",
            
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      "display_name": "PV",
            
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      "name": "PV",
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      "state": "active",
            
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    },
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    },
            
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      "display_name": "electricity demand",
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      "display_name": "electricity demand",
            
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    {
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    {
            
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      "display_name": "high resolution data",
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      "display_name": "high resolution data",
            
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      "id": "631cf239-2d34-4b4d-aa02-08fe937f8fbc",
            
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      "name": "high resolution data",
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      "name": "high resolution data",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "load profile",
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      "display_name": "load profile",
            
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      "id": "bf29f5c9-6d93-42ed-a192-ad8445f193d4",
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      "id": "bf29f5c9-6d93-42ed-a192-ad8445f193d4",
            
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      "name": "load profile",
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      "name": "load profile",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "microgrid",
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      "display_name": "microgrid",
            
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      "id": "16ba98f2-f0d7-4fb7-bb6f-2b483d68f51b",
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      "id": "16ba98f2-f0d7-4fb7-bb6f-2b483d68f51b",
            
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      "name": "microgrid",
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      "name": "microgrid",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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    },
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    },
            
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    {
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    {
            
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      "display_name": "off-grid system",
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      "display_name": "off-grid system",
            
206
      "id": "74f61a1b-ba27-4ee3-8029-30d7d057f27e",
206
      "id": "74f61a1b-ba27-4ee3-8029-30d7d057f27e",
            
207
      "name": "off-grid system",
207
      "name": "off-grid system",
            
208
      "state": "active",
208
      "state": "active",
            
209
      "vocabulary_id": null
209
      "vocabulary_id": null
            
210
    }
210
    }
            
211
  ],
211
  ],
            
212
  "title": "High-resolution real-world electricity data from three 
212
  "title": "High-resolution real-world electricity data from three 
            
213
microgrids in the global south",
213
microgrids in the global south",
            
214
  "type": "vdataset",
214
  "type": "vdataset",
            
215
  "url": "https://doi.org/10.35097/1305"
215
  "url": "https://doi.org/10.35097/1305"
            
216
}
216
}