The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks
Wind power has become more popular due to an increase in energy demand and the rapid decline in conventional fossil fuels. This paper addresses the rising demand for accurate short-term wind power forecasting, which is critical for minimizing the impacts on grid operations and reducing associated co...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academy of Sciences of Moldova
2025-02-01
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| Series: | Problems of the Regional Energetics |
| Subjects: | |
| Online Access: | https://journal.ie.asm.md/assets/files/01_01_65_2025.pdf |
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