A comprehensive study and performance analysis of deep neural network-based approaches in wind time-series forecasting
The increasing energy demand and expansion of power plants are provoking the effects of greenhouse gas emissions and global warming. To mitigate these issues, renewable energies (like solar, wind, and hydropower) are blessings for modern energy sectors. The study focuses on wind-speed prediction in...
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Main Authors: | Rahman M.M., Shakeri M., Khatun F., Tiong S.K., Alkahtani A.A., Samsudin N.A., Amin N., Pasupuleti J., Hasan M.K. |
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Other Authors: | 58831072700 |
Format: | Article |
Published: |
Springer Science and Business Media Deutschland GmbH
2024
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