Data repository for ‘Predicting battery end of life from solar off-grid system field data using machine learning’
This dataset was generated by 1027 lead-acid batteries from BBOXX Ltd., each with nominal voltage 12 V (internally comprising 6 cells in series), nominal capacity 20 Ah, and attached to a 50 Wp photovoltaic panel. These systems are used for lighting, phone charging and small appliances, and are loca...
| Príomhchruthaitheoirí: | , |
|---|---|
| Formáid: | Dataset |
| Teanga: | English |
| Foilsithe / Cruthaithe: |
University of Oxford
2021
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| Ábhair: |
| _version_ | 1826301720030871552 |
|---|---|
| author | Aitio, A Howey, D |
| author2 | Howey, D |
| author_facet | Howey, D Aitio, A Howey, D |
| author_sort | Aitio, A |
| collection | OXFORD |
| description | This dataset was generated by 1027 lead-acid batteries from BBOXX Ltd., each with nominal voltage 12 V (internally comprising 6 cells in series), nominal capacity 20 Ah, and attached to a 50 Wp photovoltaic panel. These systems are used for lighting, phone charging and small appliances, and are located across sub-Saharan Africa. Each battery was in use for 400-760 days. A full explanation is given in the associated paper which may be found at https://arxiv.org/abs/2107.13856 . |
| first_indexed | 2024-03-07T05:36:37Z |
| format | Dataset |
| id | oxford-uuid:e41d3d4c-f74e-4d76-81fd-0caa77ec6cec |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T05:36:37Z |
| publishDate | 2021 |
| publisher | University of Oxford |
| record_format | dspace |
| spelling | oxford-uuid:e41d3d4c-f74e-4d76-81fd-0caa77ec6cec2022-03-27T10:14:24ZData repository for ‘Predicting battery end of life from solar off-grid system field data using machine learning’Datasethttp://purl.org/coar/resource_type/c_ddb1uuid:e41d3d4c-f74e-4d76-81fd-0caa77ec6cecengineeringmachine learningenergy storagebatteryEnglishHyrax DepositUniversity of Oxford2021Aitio, AHowey, DHowey, DThis dataset was generated by 1027 lead-acid batteries from BBOXX Ltd., each with nominal voltage 12 V (internally comprising 6 cells in series), nominal capacity 20 Ah, and attached to a 50 Wp photovoltaic panel. These systems are used for lighting, phone charging and small appliances, and are located across sub-Saharan Africa. Each battery was in use for 400-760 days. A full explanation is given in the associated paper which may be found at https://arxiv.org/abs/2107.13856 . |
| spellingShingle | engineering machine learning energy storage battery Aitio, A Howey, D Data repository for ‘Predicting battery end of life from solar off-grid system field data using machine learning’ |
| title | Data repository for ‘Predicting battery end of life from solar off-grid system field data using machine learning’ |
| title_full | Data repository for ‘Predicting battery end of life from solar off-grid system field data using machine learning’ |
| title_fullStr | Data repository for ‘Predicting battery end of life from solar off-grid system field data using machine learning’ |
| title_full_unstemmed | Data repository for ‘Predicting battery end of life from solar off-grid system field data using machine learning’ |
| title_short | Data repository for ‘Predicting battery end of life from solar off-grid system field data using machine learning’ |
| title_sort | data repository for predicting battery end of life from solar off grid system field data using machine learning |
| topic | engineering machine learning energy storage battery |
| work_keys_str_mv | AT aitioa datarepositoryforpredictingbatteryendoflifefromsolaroffgridsystemfielddatausingmachinelearning AT howeyd datarepositoryforpredictingbatteryendoflifefromsolaroffgridsystemfielddatausingmachinelearning |