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f | 1 | { | f | 1 | { |
2 | "author": "F\u00f6rderer, Kevin", | 2 | "author": "F\u00f6rderer, Kevin", | ||
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": "10.35097/1492", | 5 | "doi": "10.35097/1492", | ||
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 | "groups": [], | 9 | "groups": [], | ||
10 | "id": "e05c6255-93e2-4131-b21c-a7e8b74c2782", | 10 | "id": "e05c6255-93e2-4131-b21c-a7e8b74c2782", | ||
11 | "isopen": false, | 11 | "isopen": false, | ||
12 | "license_id": "Other", | 12 | "license_id": "Other", | ||
13 | "license_title": "Other", | 13 | "license_title": "Other", | ||
14 | "metadata_created": "2023-08-04T08:50:54.138268", | 14 | "metadata_created": "2023-08-04T08:50:54.138268", | ||
t | 15 | "metadata_modified": "2023-08-04T09:04:21.686703", | t | 15 | "metadata_modified": "2023-08-04T09:31:26.342478", |
16 | "name": "rdr-doi-10-35097-1492", | 16 | "name": "rdr-doi-10-35097-1492", | ||
17 | "notes": "TechnicalRemarks: This archive provides supplementary | 17 | "notes": "TechnicalRemarks: This archive provides supplementary | ||
18 | materials for the doctoral thesis Modeling and Communicating | 18 | materials for the doctoral thesis Modeling and Communicating | ||
19 | Flexibility in Smart Grids Using Artificial Neural Networks as | 19 | Flexibility in Smart Grids Using Artificial Neural Networks as | ||
20 | Surrogate Models. For an elaborate explanation of the contents please | 20 | Surrogate Models. For an elaborate explanation of the contents please | ||
21 | see README.md.", | 21 | see README.md.", | ||
22 | "num_resources": 0, | 22 | "num_resources": 0, | ||
23 | "num_tags": 7, | 23 | "num_tags": 7, | ||
24 | "orcid": "0000-0002-9115-670X", | 24 | "orcid": "0000-0002-9115-670X", | ||
25 | "organization": { | 25 | "organization": { | ||
26 | "approval_status": "approved", | 26 | "approval_status": "approved", | ||
27 | "created": "2023-01-12T13:30:23.238233", | 27 | "created": "2023-01-12T13:30:23.238233", | ||
28 | "description": "RADAR (Research Data Repository) is a | 28 | "description": "RADAR (Research Data Repository) is a | ||
29 | cross-disciplinary repository for archiving and publishing research | 29 | cross-disciplinary repository for archiving and publishing research | ||
30 | data from completed scientific studies and projects. The focus is on | 30 | data from completed scientific studies and projects. The focus is on | ||
31 | research data from subjects that do not yet have their own | 31 | research data from subjects that do not yet have their own | ||
32 | discipline-specific infrastructures for research data management. ", | 32 | discipline-specific infrastructures for research data management. ", | ||
33 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 33 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
34 | "image_url": "radar-logo.svg", | 34 | "image_url": "radar-logo.svg", | ||
35 | "is_organization": true, | 35 | "is_organization": true, | ||
36 | "name": "radar", | 36 | "name": "radar", | ||
37 | "state": "active", | 37 | "state": "active", | ||
38 | "title": "RADAR", | 38 | "title": "RADAR", | ||
39 | "type": "organization" | 39 | "type": "organization" | ||
40 | }, | 40 | }, | ||
41 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 41 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
42 | "private": false, | 42 | "private": false, | ||
43 | "production_year": "2021", | 43 | "production_year": "2021", | ||
44 | "publication_year": "2023", | 44 | "publication_year": "2023", | ||
45 | "publishers": [ | 45 | "publishers": [ | ||
46 | { | 46 | { | ||
47 | "publisher": "Karlsruhe Institute of Technology" | 47 | "publisher": "Karlsruhe Institute of Technology" | ||
48 | } | 48 | } | ||
49 | ], | 49 | ], | ||
50 | "relationships_as_object": [], | 50 | "relationships_as_object": [], | ||
51 | "relationships_as_subject": [], | 51 | "relationships_as_subject": [], | ||
52 | "repository_name": "RADAR (Research Data Repository)", | 52 | "repository_name": "RADAR (Research Data Repository)", | ||
53 | "resources": [], | 53 | "resources": [], | ||
54 | "services_used_list": "", | 54 | "services_used_list": "", | ||
55 | "source_metadata_created": "2023", | 55 | "source_metadata_created": "2023", | ||
56 | "source_metadata_modified": "", | 56 | "source_metadata_modified": "", | ||
57 | "state": "active", | 57 | "state": "active", | ||
58 | "subject_areas": [ | 58 | "subject_areas": [ | ||
59 | { | 59 | { | ||
60 | "subject_area_additional": "", | 60 | "subject_area_additional": "", | ||
61 | "subject_area_name": "Economics" | 61 | "subject_area_name": "Economics" | ||
62 | } | 62 | } | ||
63 | ], | 63 | ], | ||
64 | "tags": [ | 64 | "tags": [ | ||
65 | { | 65 | { | ||
66 | "display_name": "Artificial Neural Networks", | 66 | "display_name": "Artificial Neural Networks", | ||
67 | "id": "0993882d-fdd5-41f9-b3b5-c49159028e6d", | 67 | "id": "0993882d-fdd5-41f9-b3b5-c49159028e6d", | ||
68 | "name": "Artificial Neural Networks", | 68 | "name": "Artificial Neural Networks", | ||
69 | "state": "active", | 69 | "state": "active", | ||
70 | "vocabulary_id": null | 70 | "vocabulary_id": null | ||
71 | }, | 71 | }, | ||
72 | { | 72 | { | ||
73 | "display_name": "Demand Side Flexibility", | 73 | "display_name": "Demand Side Flexibility", | ||
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78 | }, | 78 | }, | ||
79 | { | 79 | { | ||
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84 | "vocabulary_id": null | 84 | "vocabulary_id": null | ||
85 | }, | 85 | }, | ||
86 | { | 86 | { | ||
87 | "display_name": "Energy Management System", | 87 | "display_name": "Energy Management System", | ||
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91 | "vocabulary_id": null | 91 | "vocabulary_id": null | ||
92 | }, | 92 | }, | ||
93 | { | 93 | { | ||
94 | "display_name": "Machine Learning", | 94 | "display_name": "Machine Learning", | ||
95 | "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c", | 95 | "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c", | ||
96 | "name": "Machine Learning", | 96 | "name": "Machine Learning", | ||
97 | "state": "active", | 97 | "state": "active", | ||
98 | "vocabulary_id": null | 98 | "vocabulary_id": null | ||
99 | }, | 99 | }, | ||
100 | { | 100 | { | ||
101 | "display_name": "Smart Grid", | 101 | "display_name": "Smart Grid", | ||
102 | "id": "781996c4-197d-497c-bea1-235e2527ff41", | 102 | "id": "781996c4-197d-497c-bea1-235e2527ff41", | ||
103 | "name": "Smart Grid", | 103 | "name": "Smart Grid", | ||
104 | "state": "active", | 104 | "state": "active", | ||
105 | "vocabulary_id": null | 105 | "vocabulary_id": null | ||
106 | }, | 106 | }, | ||
107 | { | 107 | { | ||
108 | "display_name": "Surrogate Modeling", | 108 | "display_name": "Surrogate Modeling", | ||
109 | "id": "5d579927-3d58-490a-9824-582d769a3640", | 109 | "id": "5d579927-3d58-490a-9824-582d769a3640", | ||
110 | "name": "Surrogate Modeling", | 110 | "name": "Surrogate Modeling", | ||
111 | "state": "active", | 111 | "state": "active", | ||
112 | "vocabulary_id": null | 112 | "vocabulary_id": null | ||
113 | } | 113 | } | ||
114 | ], | 114 | ], | ||
115 | "title": "Modeling and communicating flexibility in smart grids | 115 | "title": "Modeling and communicating flexibility in smart grids | ||
116 | using artificial neural networks as surrogate models - supplementary | 116 | using artificial neural networks as surrogate models - supplementary | ||
117 | materials", | 117 | materials", | ||
118 | "type": "vdataset", | 118 | "type": "vdataset", | ||
119 | "url": "https://doi.org/10.35097/1492" | 119 | "url": "https://doi.org/10.35097/1492" | ||
120 | } | 120 | } |