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f | 1 | { | f | 1 | { |
2 | "author": "Staudt, Philipp", | 2 | "author": "Staudt, Philipp", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/1153", | 5 | "doi": "10.35097/1153", | ||
6 | "doi_date_published": "2023", | 6 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Rausch, Benjamin", | 11 | "extra_author": "Rausch, Benjamin", | ||
12 | "orcid": "" | 12 | "orcid": "" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "extra_author": "Weinhardt, Christof", | 15 | "extra_author": "Weinhardt, Christof", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | } | 17 | } | ||
18 | ], | 18 | ], | ||
19 | "groups": [], | 19 | "groups": [], | ||
20 | "id": "68057a11-dfdf-47e0-95de-130641e90e6b", | 20 | "id": "68057a11-dfdf-47e0-95de-130641e90e6b", | ||
21 | "isopen": false, | 21 | "isopen": false, | ||
22 | "license_id": "CC BY 4.0 Attribution", | 22 | "license_id": "CC BY 4.0 Attribution", | ||
23 | "license_title": "CC BY 4.0 Attribution", | 23 | "license_title": "CC BY 4.0 Attribution", | ||
24 | "metadata_created": "2023-08-04T08:50:10.285860", | 24 | "metadata_created": "2023-08-04T08:50:10.285860", | ||
t | 25 | "metadata_modified": "2023-08-04T08:51:47.625503", | t | 25 | "metadata_modified": "2023-08-04T08:53:18.291155", |
26 | "name": "rdr-doi-10-35097-1153", | 26 | "name": "rdr-doi-10-35097-1153", | ||
27 | "notes": "Abstract: The data sets comprise hourly congestion data of | 27 | "notes": "Abstract: The data sets comprise hourly congestion data of | ||
28 | the transmission system operator 50 Hertz from 2015 to 2017. 50 Hertz | 28 | the transmission system operator 50 Hertz from 2015 to 2017. 50 Hertz | ||
29 | GmbH and TenneT GmbH are the TSOs in Germany, which suffer the most | 29 | GmbH and TenneT GmbH are the TSOs in Germany, which suffer the most | ||
30 | from congestion in their grids (96 % of German transmission grid | 30 | from congestion in their grids (96 % of German transmission grid | ||
31 | congestion appears here). While other German TSOs do not publish their | 31 | congestion appears here). While other German TSOs do not publish their | ||
32 | respective congestion data, 50 Hertz GmbH provides hourly values. We | 32 | respective congestion data, 50 Hertz GmbH provides hourly values. We | ||
33 | transformed the data from categorical and numerical information into | 33 | transformed the data from categorical and numerical information into | ||
34 | binary variables to provide an easier starting point for further | 34 | binary variables to provide an easier starting point for further | ||
35 | analysis. Check the \"Read me\" section for further | 35 | analysis. Check the \"Read me\" section for further | ||
36 | information.\r\n\r\nThis data is part of a larger data set on | 36 | information.\r\n\r\nThis data is part of a larger data set on | ||
37 | congestion in the German electricity grids from 2015 to 2017. The | 37 | congestion in the German electricity grids from 2015 to 2017. The | ||
38 | related datasets are referenced below. \r\n\r\nThe publication of this | 38 | related datasets are referenced below. \r\n\r\nThe publication of this | ||
39 | data set was supported by the German Research Foundation (DFG) as part | 39 | data set was supported by the German Research Foundation (DFG) as part | ||
40 | of the Research Training Group GRK 2153: Energy Status Data - | 40 | of the Research Training Group GRK 2153: Energy Status Data - | ||
41 | Informatics Methods for its Collection, Analysis and | 41 | Informatics Methods for its Collection, Analysis and | ||
42 | Exploitation.\r\nTechnicalRemarks: The data is available for the time | 42 | Exploitation.\r\nTechnicalRemarks: The data is available for the time | ||
43 | of 1/1/2015 until 12/31/2017 for 200 lines, which were in operation | 43 | of 1/1/2015 until 12/31/2017 for 200 lines, which were in operation | ||
44 | during this time.\r\nThere are two different data sets, which were | 44 | during this time.\r\nThere are two different data sets, which were | ||
45 | transformed differently to provide different possibilities for further | 45 | transformed differently to provide different possibilities for further | ||
46 | exploration. \r\n\r\nData set \"lineloaddata50percentthreshold\" has | 46 | exploration. \r\n\r\nData set \"lineloaddata50percentthreshold\" has | ||
47 | the following binary encoding: \r\n- 0 - lines having a load of up to | 47 | the following binary encoding: \r\n- 0 - lines having a load of up to | ||
48 | 50 % or below of their thermal capacity limit\r\n- 1 - lines having a | 48 | 50 % or below of their thermal capacity limit\r\n- 1 - lines having a | ||
49 | load of more than 50 % of their thermal capacity limit\r\n- NaN - no | 49 | load of more than 50 % of their thermal capacity limit\r\n- NaN - no | ||
50 | data available \r\n\r\nData set \"lindloaddata_70percentthreshold\": | 50 | data available \r\n\r\nData set \"lindloaddata_70percentthreshold\": | ||
51 | \r\n- 0 - lines having a load of up to 70 % or below of their thermal | 51 | \r\n- 0 - lines having a load of up to 70 % or below of their thermal | ||
52 | capacity limit\r\n- 1 - lines having a load of more than 70 % of their | 52 | capacity limit\r\n- 1 - lines having a load of more than 70 % of their | ||
53 | thermal capacity limit\r\n- NaN - no data available \r\n\r\nThe date | 53 | thermal capacity limit\r\n- NaN - no data available \r\n\r\nThe date | ||
54 | format is (mm/dd/yyyy). Please be aware of this while reading in the | 54 | format is (mm/dd/yyyy). Please be aware of this while reading in the | ||
55 | data. The used separator is ',' (.csv). \r\nEvery transmission line | 55 | data. The used separator is ',' (.csv). \r\nEvery transmission line | ||
56 | has a distinct column comprising its binary information about its | 56 | has a distinct column comprising its binary information about its | ||
57 | congestion state as explained before. The line / column names are | 57 | congestion state as explained before. The line / column names are | ||
58 | identical to the coding of line names 50 Hertz GmbH uses.", | 58 | identical to the coding of line names 50 Hertz GmbH uses.", | ||
59 | "num_resources": 0, | 59 | "num_resources": 0, | ||
60 | "num_tags": 9, | 60 | "num_tags": 9, | ||
61 | "orcid": "", | 61 | "orcid": "", | ||
62 | "organization": { | 62 | "organization": { | ||
63 | "approval_status": "approved", | 63 | "approval_status": "approved", | ||
64 | "created": "2023-01-12T13:30:23.238233", | 64 | "created": "2023-01-12T13:30:23.238233", | ||
65 | "description": "RADAR (Research Data Repository) is a | 65 | "description": "RADAR (Research Data Repository) is a | ||
66 | cross-disciplinary repository for archiving and publishing research | 66 | cross-disciplinary repository for archiving and publishing research | ||
67 | data from completed scientific studies and projects. The focus is on | 67 | data from completed scientific studies and projects. The focus is on | ||
68 | research data from subjects that do not yet have their own | 68 | research data from subjects that do not yet have their own | ||
69 | discipline-specific infrastructures for research data management. ", | 69 | discipline-specific infrastructures for research data management. ", | ||
70 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 70 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
71 | "image_url": "radar-logo.svg", | 71 | "image_url": "radar-logo.svg", | ||
72 | "is_organization": true, | 72 | "is_organization": true, | ||
73 | "name": "radar", | 73 | "name": "radar", | ||
74 | "state": "active", | 74 | "state": "active", | ||
75 | "title": "RADAR", | 75 | "title": "RADAR", | ||
76 | "type": "organization" | 76 | "type": "organization" | ||
77 | }, | 77 | }, | ||
78 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 78 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
79 | "private": false, | 79 | "private": false, | ||
80 | "production_year": "2019", | 80 | "production_year": "2019", | ||
81 | "publication_year": "2023", | 81 | "publication_year": "2023", | ||
82 | "publishers": [ | 82 | "publishers": [ | ||
83 | { | 83 | { | ||
84 | "publisher": "Karlsruhe Institute of Technology" | 84 | "publisher": "Karlsruhe Institute of Technology" | ||
85 | } | 85 | } | ||
86 | ], | 86 | ], | ||
87 | "relationships_as_object": [], | 87 | "relationships_as_object": [], | ||
88 | "relationships_as_subject": [], | 88 | "relationships_as_subject": [], | ||
89 | "repository_name": "RADAR (Research Data Repository)", | 89 | "repository_name": "RADAR (Research Data Repository)", | ||
90 | "resources": [], | 90 | "resources": [], | ||
91 | "services_used_list": "", | 91 | "services_used_list": "", | ||
92 | "source_metadata_created": "2023", | 92 | "source_metadata_created": "2023", | ||
93 | "source_metadata_modified": "", | 93 | "source_metadata_modified": "", | ||
94 | "state": "active", | 94 | "state": "active", | ||
95 | "subject_areas": [ | 95 | "subject_areas": [ | ||
96 | { | 96 | { | ||
97 | "subject_area_additional": "", | 97 | "subject_area_additional": "", | ||
98 | "subject_area_name": "Economics" | 98 | "subject_area_name": "Economics" | ||
99 | } | 99 | } | ||
100 | ], | 100 | ], | ||
101 | "tags": [ | 101 | "tags": [ | ||
102 | { | 102 | { | ||
103 | "display_name": "Deutschland", | 103 | "display_name": "Deutschland", | ||
104 | "id": "b9ff9c5b-0377-451c-a727-ffff6e458ab0", | 104 | "id": "b9ff9c5b-0377-451c-a727-ffff6e458ab0", | ||
105 | "name": "Deutschland", | 105 | "name": "Deutschland", | ||
106 | "state": "active", | 106 | "state": "active", | ||
107 | "vocabulary_id": null | 107 | "vocabulary_id": null | ||
108 | }, | 108 | }, | ||
109 | { | 109 | { | ||
110 | "display_name": "Energiewende", | 110 | "display_name": "Energiewende", | ||
111 | "id": "7662d014-ab48-4ea2-bde8-913e57bcc8cd", | 111 | "id": "7662d014-ab48-4ea2-bde8-913e57bcc8cd", | ||
112 | "name": "Energiewende", | 112 | "name": "Energiewende", | ||
113 | "state": "active", | 113 | "state": "active", | ||
114 | "vocabulary_id": null | 114 | "vocabulary_id": null | ||
115 | }, | 115 | }, | ||
116 | { | 116 | { | ||
117 | "display_name": "Germany", | 117 | "display_name": "Germany", | ||
118 | "id": "cb54460a-6b6c-4586-8f80-cd2ef1535cbb", | 118 | "id": "cb54460a-6b6c-4586-8f80-cd2ef1535cbb", | ||
119 | "name": "Germany", | 119 | "name": "Germany", | ||
120 | "state": "active", | 120 | "state": "active", | ||
121 | "vocabulary_id": null | 121 | "vocabulary_id": null | ||
122 | }, | 122 | }, | ||
123 | { | 123 | { | ||
124 | "display_name": "congestion", | 124 | "display_name": "congestion", | ||
125 | "id": "1383697c-9103-49eb-aa74-7892d9f9d84a", | 125 | "id": "1383697c-9103-49eb-aa74-7892d9f9d84a", | ||
126 | "name": "congestion", | 126 | "name": "congestion", | ||
127 | "state": "active", | 127 | "state": "active", | ||
128 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
129 | }, | 129 | }, | ||
130 | { | 130 | { | ||
131 | "display_name": "energy data", | 131 | "display_name": "energy data", | ||
132 | "id": "d81e6322-a1a8-4ee7-8eed-906feb5a7f60", | 132 | "id": "d81e6322-a1a8-4ee7-8eed-906feb5a7f60", | ||
133 | "name": "energy data", | 133 | "name": "energy data", | ||
134 | "state": "active", | 134 | "state": "active", | ||
135 | "vocabulary_id": null | 135 | "vocabulary_id": null | ||
136 | }, | 136 | }, | ||
137 | { | 137 | { | ||
138 | "display_name": "energy transition", | 138 | "display_name": "energy transition", | ||
139 | "id": "981712ae-519b-42d2-9457-02388a7d891d", | 139 | "id": "981712ae-519b-42d2-9457-02388a7d891d", | ||
140 | "name": "energy transition", | 140 | "name": "energy transition", | ||
141 | "state": "active", | 141 | "state": "active", | ||
142 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
143 | }, | 143 | }, | ||
144 | { | 144 | { | ||
145 | "display_name": "german grid", | 145 | "display_name": "german grid", | ||
146 | "id": "80605027-f451-4944-8bbd-1a8c197dc30a", | 146 | "id": "80605027-f451-4944-8bbd-1a8c197dc30a", | ||
147 | "name": "german grid", | 147 | "name": "german grid", | ||
148 | "state": "active", | 148 | "state": "active", | ||
149 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
150 | }, | 150 | }, | ||
151 | { | 151 | { | ||
152 | "display_name": "redispatch", | 152 | "display_name": "redispatch", | ||
153 | "id": "8b2de2d3-d841-4785-b868-cb65d75cf25e", | 153 | "id": "8b2de2d3-d841-4785-b868-cb65d75cf25e", | ||
154 | "name": "redispatch", | 154 | "name": "redispatch", | ||
155 | "state": "active", | 155 | "state": "active", | ||
156 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
157 | }, | 157 | }, | ||
158 | { | 158 | { | ||
159 | "display_name": "transmission", | 159 | "display_name": "transmission", | ||
160 | "id": "5847543b-a71a-49df-88cb-adc5af1e668a", | 160 | "id": "5847543b-a71a-49df-88cb-adc5af1e668a", | ||
161 | "name": "transmission", | 161 | "name": "transmission", | ||
162 | "state": "active", | 162 | "state": "active", | ||
163 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
164 | } | 164 | } | ||
165 | ], | 165 | ], | ||
166 | "title": "Congestion data tso 50 hertz germany 2015-2017 (binary)", | 166 | "title": "Congestion data tso 50 hertz germany 2015-2017 (binary)", | ||
167 | "type": "vdataset", | 167 | "type": "vdataset", | ||
168 | "url": "https://doi.org/10.35097/1153" | 168 | "url": "https://doi.org/10.35097/1153" | ||
169 | } | 169 | } |