Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data
Currently, wind power is the fast growing area in the domain of renewable energy generation. Accurate prediction of wind power output in wind farms is crucial for addressing the challenges associated the power grid. This precise forecasting enables grid operators to enhance safety and optimize grid...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Internacional de La Rioja (UNIR)
2025-06-01
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| Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Online Access: | https://www.ijimai.org/journal/bibcite/reference/3460 |
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