Changes
On November 28, 2024 at 1:15:40 PM UTC, admin:
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Changed value of field
extra_authors
to[{'extra_author': 'Phipps, Kaleb', 'familyName': 'Phipps', 'givenName': 'Kaleb', 'orcid': '0000-0002-9197-1739'}, {'extra_author': 'Britto, Anthony', 'familyName': 'Britto', 'givenName': 'Anthony', 'orcid': '0000-0002-5799-3248'}, {'extra_author': 'Wolf, Matthias', 'familyName': 'Wolf', 'givenName': 'Matthias', 'orcid': '0000-0003-1411-6330'}, {'extra_author': 'Lutz, Marek', 'familyName': 'Lutz', 'givenName': 'Marek', 'orcid': ''}, {'extra_author': 'Kraft, Johann', 'familyName': 'Kraft', 'givenName': 'Johann', 'orcid': '0000-0002-8888-7878'}]
in High-resolution real-world electricity data from three microgrids in the global south
f | 1 | { | f | 1 | { |
2 | "author": "Luh, Matthias", | 2 | "author": "Luh, Matthias", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
n | n | 4 | "citation": [], | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 5 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/1305", | 6 | "doi": "10.35097/1305", | ||
6 | "doi_date_published": "2023", | 7 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 8 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 9 | "doi_status": "True", | ||
9 | "extra_authors": [ | 10 | "extra_authors": [ | ||
10 | { | 11 | { | ||
11 | "extra_author": "Phipps, Kaleb", | 12 | "extra_author": "Phipps, Kaleb", | ||
n | n | 13 | "familyName": "Phipps", | ||
14 | "givenName": "Kaleb", | ||||
12 | "orcid": "0000-0002-9197-1739" | 15 | "orcid": "0000-0002-9197-1739" | ||
13 | }, | 16 | }, | ||
14 | { | 17 | { | ||
15 | "extra_author": "Britto, Anthony", | 18 | "extra_author": "Britto, Anthony", | ||
n | n | 19 | "familyName": "Britto", | ||
20 | "givenName": "Anthony", | ||||
16 | "orcid": "0000-0002-5799-3248" | 21 | "orcid": "0000-0002-5799-3248" | ||
17 | }, | 22 | }, | ||
18 | { | 23 | { | ||
19 | "extra_author": "Wolf, Matthias", | 24 | "extra_author": "Wolf, Matthias", | ||
n | n | 25 | "familyName": "Wolf", | ||
26 | "givenName": "Matthias", | ||||
20 | "orcid": "0000-0003-1411-6330" | 27 | "orcid": "0000-0003-1411-6330" | ||
21 | }, | 28 | }, | ||
22 | { | 29 | { | ||
23 | "extra_author": "Lutz, Marek", | 30 | "extra_author": "Lutz, Marek", | ||
n | n | 31 | "familyName": "Lutz", | ||
32 | "givenName": "Marek", | ||||
24 | "orcid": "" | 33 | "orcid": "" | ||
25 | }, | 34 | }, | ||
26 | { | 35 | { | ||
27 | "extra_author": "Kraft, Johann", | 36 | "extra_author": "Kraft, Johann", | ||
n | n | 37 | "familyName": "Kraft", | ||
38 | "givenName": "Johann", | ||||
28 | "orcid": "0000-0002-8888-7878" | 39 | "orcid": "0000-0002-8888-7878" | ||
29 | } | 40 | } | ||
30 | ], | 41 | ], | ||
n | n | 42 | "familyName": "Luh", | ||
43 | "givenName": "Matthias", | ||||
31 | "groups": [], | 44 | "groups": [], | ||
32 | "id": "f13763ef-5828-4861-baaf-de3b3636d69c", | 45 | "id": "f13763ef-5828-4861-baaf-de3b3636d69c", | ||
33 | "isopen": false, | 46 | "isopen": false, | ||
34 | "license_id": "CC BY 4.0 Attribution", | 47 | "license_id": "CC BY 4.0 Attribution", | ||
35 | "license_title": "CC BY 4.0 Attribution", | 48 | "license_title": "CC BY 4.0 Attribution", | ||
36 | "metadata_created": "2023-08-04T08:50:29.876420", | 49 | "metadata_created": "2023-08-04T08:50:29.876420", | ||
t | 37 | "metadata_modified": "2023-08-04T09:29:03.327571", | t | 50 | "metadata_modified": "2024-11-28T13:15:40.142390", |
38 | "name": "rdr-doi-10-35097-1305", | 51 | "name": "rdr-doi-10-35097-1305", | ||
39 | "notes": "Abstract: Microgrids are a promising solution for | 52 | "notes": "Abstract: Microgrids are a promising solution for | ||
40 | providing electricity access to rural populations in the Global South. | 53 | providing electricity access to rural populations in the Global South. | ||
41 | To ensure such microgrids are affordable and effective, careful | 54 | To ensure such microgrids are affordable and effective, careful | ||
42 | planning and dimensioning is required. Numerous tools exist to assist | 55 | planning and dimensioning is required. Numerous tools exist to assist | ||
43 | with this planning and dimensioning, however, they generally require | 56 | with this planning and dimensioning, however, they generally require | ||
44 | microgrid electricity data, such as load profiles, as an input. | 57 | microgrid electricity data, such as load profiles, as an input. | ||
45 | Unfortunately, such electricity data is scarce for microgrids in the | 58 | Unfortunately, such electricity data is scarce for microgrids in the | ||
46 | Global South and the little data that is available has a low temporal | 59 | Global South and the little data that is available has a low temporal | ||
47 | resolution. Therefore, we introduce high resolution real-world | 60 | resolution. Therefore, we introduce high resolution real-world | ||
48 | electricity data from three microgrids in the global south. The data | 61 | electricity data from three microgrids in the global south. The data | ||
49 | is collected from microgrids in the Democratic Republic of Congo, | 62 | is collected from microgrids in the Democratic Republic of Congo, | ||
50 | Rwanda, and Haiti, and has a temporal resolution of up to five | 63 | Rwanda, and Haiti, and has a temporal resolution of up to five | ||
51 | seconds. Furthermore, we include data from both residential and | 64 | seconds. Furthermore, we include data from both residential and | ||
52 | industrial microgrids, and consider microgrids with renewable | 65 | industrial microgrids, and consider microgrids with renewable | ||
53 | generation from hydropower and photovoltaic arrays. We describe and | 66 | generation from hydropower and photovoltaic arrays. We describe and | ||
54 | analyse the characteristics of the recorded data and show how it can | 67 | analyse the characteristics of the recorded data and show how it can | ||
55 | be used to derive flexible load profiles with varying temporal | 68 | be used to derive flexible load profiles with varying temporal | ||
56 | resolutions, useful for affordable microgrid planning and | 69 | resolutions, useful for affordable microgrid planning and | ||
57 | dimensioning.\r\nTechnicalRemarks: This dataset was published as part | 70 | dimensioning.\r\nTechnicalRemarks: This dataset was published as part | ||
58 | of a paper submitted at the \"International Workshop on Energy Data | 71 | of a paper submitted at the \"International Workshop on Energy Data | ||
59 | and Analytics\" at ACM e-Energy 2022 with the title \"High Resolution | 72 | and Analytics\" at ACM e-Energy 2022 with the title \"High Resolution | ||
60 | Real-World Electricity Data from Three Microgrids in the Global | 73 | Real-World Electricity Data from Three Microgrids in the Global | ||
61 | South\" in which the data set is described. Further explanations can | 74 | South\" in which the data set is described. Further explanations can | ||
62 | be found in the file \"Symbols_Units_Explanations\".", | 75 | be found in the file \"Symbols_Units_Explanations\".", | ||
63 | "num_resources": 0, | 76 | "num_resources": 0, | ||
64 | "num_tags": 15, | 77 | "num_tags": 15, | ||
65 | "orcid": "0000-0003-4731-2207", | 78 | "orcid": "0000-0003-4731-2207", | ||
66 | "organization": { | 79 | "organization": { | ||
67 | "approval_status": "approved", | 80 | "approval_status": "approved", | ||
68 | "created": "2023-01-12T13:30:23.238233", | 81 | "created": "2023-01-12T13:30:23.238233", | ||
69 | "description": "RADAR (Research Data Repository) is a | 82 | "description": "RADAR (Research Data Repository) is a | ||
70 | cross-disciplinary repository for archiving and publishing research | 83 | cross-disciplinary repository for archiving and publishing research | ||
71 | data from completed scientific studies and projects. The focus is on | 84 | data from completed scientific studies and projects. The focus is on | ||
72 | research data from subjects that do not yet have their own | 85 | research data from subjects that do not yet have their own | ||
73 | discipline-specific infrastructures for research data management. ", | 86 | discipline-specific infrastructures for research data management. ", | ||
74 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 87 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
75 | "image_url": "radar-logo.svg", | 88 | "image_url": "radar-logo.svg", | ||
76 | "is_organization": true, | 89 | "is_organization": true, | ||
77 | "name": "radar", | 90 | "name": "radar", | ||
78 | "state": "active", | 91 | "state": "active", | ||
79 | "title": "RADAR", | 92 | "title": "RADAR", | ||
80 | "type": "organization" | 93 | "type": "organization" | ||
81 | }, | 94 | }, | ||
82 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 95 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
83 | "private": false, | 96 | "private": false, | ||
84 | "production_year": "2022", | 97 | "production_year": "2022", | ||
85 | "publication_year": "2023", | 98 | "publication_year": "2023", | ||
86 | "publishers": [ | 99 | "publishers": [ | ||
87 | { | 100 | { | ||
88 | "publisher": "Karlsruhe Institute of Technology" | 101 | "publisher": "Karlsruhe Institute of Technology" | ||
89 | } | 102 | } | ||
90 | ], | 103 | ], | ||
91 | "relationships_as_object": [], | 104 | "relationships_as_object": [], | ||
92 | "relationships_as_subject": [], | 105 | "relationships_as_subject": [], | ||
93 | "repository_name": "RADAR (Research Data Repository)", | 106 | "repository_name": "RADAR (Research Data Repository)", | ||
94 | "resources": [], | 107 | "resources": [], | ||
95 | "services_used_list": "", | 108 | "services_used_list": "", | ||
96 | "source_metadata_created": "2023", | 109 | "source_metadata_created": "2023", | ||
97 | "source_metadata_modified": "", | 110 | "source_metadata_modified": "", | ||
98 | "state": "active", | 111 | "state": "active", | ||
99 | "subject_areas": [ | 112 | "subject_areas": [ | ||
100 | { | 113 | { | ||
101 | "subject_area_additional": "", | 114 | "subject_area_additional": "", | ||
102 | "subject_area_name": "Engineering" | 115 | "subject_area_name": "Engineering" | ||
103 | } | 116 | } | ||
104 | ], | 117 | ], | ||
105 | "tags": [ | 118 | "tags": [ | ||
106 | { | 119 | { | ||
107 | "display_name": "Africa", | 120 | "display_name": "Africa", | ||
108 | "id": "39761a47-fd7f-49c8-b4b0-b160d52354c5", | 121 | "id": "39761a47-fd7f-49c8-b4b0-b160d52354c5", | ||
109 | "name": "Africa", | 122 | "name": "Africa", | ||
110 | "state": "active", | 123 | "state": "active", | ||
111 | "vocabulary_id": null | 124 | "vocabulary_id": null | ||
112 | }, | 125 | }, | ||
113 | { | 126 | { | ||
114 | "display_name": "DR Congo", | 127 | "display_name": "DR Congo", | ||
115 | "id": "81e5388b-d725-4d80-9214-d852de75f402", | 128 | "id": "81e5388b-d725-4d80-9214-d852de75f402", | ||
116 | "name": "DR Congo", | 129 | "name": "DR Congo", | ||
117 | "state": "active", | 130 | "state": "active", | ||
118 | "vocabulary_id": null | 131 | "vocabulary_id": null | ||
119 | }, | 132 | }, | ||
120 | { | 133 | { | ||
121 | "display_name": "Global South", | 134 | "display_name": "Global South", | ||
122 | "id": "b553f077-681e-4a98-b1c6-9bc6e5b791c1", | 135 | "id": "b553f077-681e-4a98-b1c6-9bc6e5b791c1", | ||
123 | "name": "Global South", | 136 | "name": "Global South", | ||
124 | "state": "active", | 137 | "state": "active", | ||
125 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
126 | }, | 139 | }, | ||
127 | { | 140 | { | ||
128 | "display_name": "Haiti", | 141 | "display_name": "Haiti", | ||
129 | "id": "c4aedbe3-92ce-4343-8fce-befad3bb66f5", | 142 | "id": "c4aedbe3-92ce-4343-8fce-befad3bb66f5", | ||
130 | "name": "Haiti", | 143 | "name": "Haiti", | ||
131 | "state": "active", | 144 | "state": "active", | ||
132 | "vocabulary_id": null | 145 | "vocabulary_id": null | ||
133 | }, | 146 | }, | ||
134 | { | 147 | { | ||
135 | "display_name": "Hydropower", | 148 | "display_name": "Hydropower", | ||
136 | "id": "7ed56003-6ab9-43b2-be6f-25ce7908d63c", | 149 | "id": "7ed56003-6ab9-43b2-be6f-25ce7908d63c", | ||
137 | "name": "Hydropower", | 150 | "name": "Hydropower", | ||
138 | "state": "active", | 151 | "state": "active", | ||
139 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
140 | }, | 153 | }, | ||
141 | { | 154 | { | ||
142 | "display_name": "PV", | 155 | "display_name": "PV", | ||
143 | "id": "8ceeafbc-8266-49bd-a55b-6891340ef362", | 156 | "id": "8ceeafbc-8266-49bd-a55b-6891340ef362", | ||
144 | "name": "PV", | 157 | "name": "PV", | ||
145 | "state": "active", | 158 | "state": "active", | ||
146 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
147 | }, | 160 | }, | ||
148 | { | 161 | { | ||
149 | "display_name": "Rwanda", | 162 | "display_name": "Rwanda", | ||
150 | "id": "292a944c-9bc2-4739-ab7c-c5e9d4b691c9", | 163 | "id": "292a944c-9bc2-4739-ab7c-c5e9d4b691c9", | ||
151 | "name": "Rwanda", | 164 | "name": "Rwanda", | ||
152 | "state": "active", | 165 | "state": "active", | ||
153 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
154 | }, | 167 | }, | ||
155 | { | 168 | { | ||
156 | "display_name": "SDG7", | 169 | "display_name": "SDG7", | ||
157 | "id": "ed9d2a86-bd6f-4ace-bbdb-9469f95cbfca", | 170 | "id": "ed9d2a86-bd6f-4ace-bbdb-9469f95cbfca", | ||
158 | "name": "SDG7", | 171 | "name": "SDG7", | ||
159 | "state": "active", | 172 | "state": "active", | ||
160 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
161 | }, | 174 | }, | ||
162 | { | 175 | { | ||
163 | "display_name": "electricity data", | 176 | "display_name": "electricity data", | ||
164 | "id": "4f3681b1-a40c-4906-ab50-b388812dbc47", | 177 | "id": "4f3681b1-a40c-4906-ab50-b388812dbc47", | ||
165 | "name": "electricity data", | 178 | "name": "electricity data", | ||
166 | "state": "active", | 179 | "state": "active", | ||
167 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
168 | }, | 181 | }, | ||
169 | { | 182 | { | ||
170 | "display_name": "electricity demand", | 183 | "display_name": "electricity demand", | ||
171 | "id": "301c5202-2afc-4c85-9048-ad0039901b3d", | 184 | "id": "301c5202-2afc-4c85-9048-ad0039901b3d", | ||
172 | "name": "electricity demand", | 185 | "name": "electricity demand", | ||
173 | "state": "active", | 186 | "state": "active", | ||
174 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
175 | }, | 188 | }, | ||
176 | { | 189 | { | ||
177 | "display_name": "energy time series", | 190 | "display_name": "energy time series", | ||
178 | "id": "e8c86b76-833d-4a3e-b6d6-ad802506265d", | 191 | "id": "e8c86b76-833d-4a3e-b6d6-ad802506265d", | ||
179 | "name": "energy time series", | 192 | "name": "energy time series", | ||
180 | "state": "active", | 193 | "state": "active", | ||
181 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
182 | }, | 195 | }, | ||
183 | { | 196 | { | ||
184 | "display_name": "high resolution data", | 197 | "display_name": "high resolution data", | ||
185 | "id": "631cf239-2d34-4b4d-aa02-08fe937f8fbc", | 198 | "id": "631cf239-2d34-4b4d-aa02-08fe937f8fbc", | ||
186 | "name": "high resolution data", | 199 | "name": "high resolution data", | ||
187 | "state": "active", | 200 | "state": "active", | ||
188 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
189 | }, | 202 | }, | ||
190 | { | 203 | { | ||
191 | "display_name": "load profile", | 204 | "display_name": "load profile", | ||
192 | "id": "bf29f5c9-6d93-42ed-a192-ad8445f193d4", | 205 | "id": "bf29f5c9-6d93-42ed-a192-ad8445f193d4", | ||
193 | "name": "load profile", | 206 | "name": "load profile", | ||
194 | "state": "active", | 207 | "state": "active", | ||
195 | "vocabulary_id": null | 208 | "vocabulary_id": null | ||
196 | }, | 209 | }, | ||
197 | { | 210 | { | ||
198 | "display_name": "microgrid", | 211 | "display_name": "microgrid", | ||
199 | "id": "16ba98f2-f0d7-4fb7-bb6f-2b483d68f51b", | 212 | "id": "16ba98f2-f0d7-4fb7-bb6f-2b483d68f51b", | ||
200 | "name": "microgrid", | 213 | "name": "microgrid", | ||
201 | "state": "active", | 214 | "state": "active", | ||
202 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
203 | }, | 216 | }, | ||
204 | { | 217 | { | ||
205 | "display_name": "off-grid system", | 218 | "display_name": "off-grid system", | ||
206 | "id": "74f61a1b-ba27-4ee3-8029-30d7d057f27e", | 219 | "id": "74f61a1b-ba27-4ee3-8029-30d7d057f27e", | ||
207 | "name": "off-grid system", | 220 | "name": "off-grid system", | ||
208 | "state": "active", | 221 | "state": "active", | ||
209 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
210 | } | 223 | } | ||
211 | ], | 224 | ], | ||
212 | "title": "High-resolution real-world electricity data from three | 225 | "title": "High-resolution real-world electricity data from three | ||
213 | microgrids in the global south", | 226 | microgrids in the global south", | ||
214 | "type": "vdataset", | 227 | "type": "vdataset", | ||
215 | "url": "https://doi.org/10.35097/1305" | 228 | "url": "https://doi.org/10.35097/1305" | ||
216 | } | 229 | } |