Application of four machine-learning methods to predict short-horizon wind energy
Renewable energy has garnered attention due to the need for sustainable energy sources. Wind power has emerged as an alternative that has contributed to the transition towards cleaner energy. As the importance of wind energy grows, it can be crucial to provide forecasts that optimize its performance...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-12-01
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| Series: | Global Energy Interconnection |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S209651172300097X |