Deep learning-based solar power generation forecasting
This dissertation aims at forecasting solar power generation using historical time series data. The deep learning models were adopted for this purpose. The data samples obtained from the website Entso-e Transparency Platform were partitioned and normalized. Based on gradient descent and long sho...
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| 格式: | Thesis-Master by Coursework |
| 語言: | English |
| 出版: |
Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/175516 |
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