Adaptive temporal transformer method for short-term wind power forecasting considering shift in time series distribution
In wind power prediction, the input probability distributions in the different sub-periods are shifted owing to the strong randomness of the input features, such as wind speed and direction. This may violate the assumption for machine learning that the training and test data meet the condition of be...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2024-02-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0186628 |