Probabilistic forecasting of multiple plant day-ahead renewable power generation sequences with data privacy preserving
This paper studies the renewable power forecasting task with a more advanced formulation, the probabilistic forecasts of day-ahead power generation sequences of multiple renewable power plants without breaching the privacy of data in each plant. To realize such a task, an advanced domain-invariant f...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Energy and AI |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546824001290 |
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