Long-term Solar and Wind Energy Forecasting Using Gaussian Processes with Tree-based Multiple Kernel Search
Long-term forecasting of renewable energy (RE) sources is important for proper energy planning and operations. Machine learning models are now being adopted by more and more researchers for this purpose. In this paper, we propose an improved Bayesian machine learning method for energy forecasting wi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2025-06-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/15245 |
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