A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids
Measurement(s) temperature • wind speed • solar zeinth angle • dew point • irradiance • voltage • current Technology Type(s) weather station • power grid model-based simulation Factor Type(s) load power • renewable generation power • disturbance location, type, and duration
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-06-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-022-01455-7 |
| Summary: | Measurement(s) temperature • wind speed • solar zeinth angle • dew point • irradiance • voltage • current Technology Type(s) weather station • power grid model-based simulation Factor Type(s) load power • renewable generation power • disturbance location, type, and duration |
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| ISSN: | 2052-4463 |