Wind power forecasting using ensemble learning for day-ahead energy trading
Wind power forecasting is a field characterised by sudden weather-related events, turbine failures and constraints imposed by the electricity grid. Nowadays, different energy markets add the extra challenge of requiring predictions at the minute level a day forward for bidding-processes. This is to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |