Machine learning and control applications for intelligent grids
In this project, we investigate the capabilities of Gaussian Process Regression (GPR) in predicting power flow parameters in a power grid. Data points are produced with different types of probability distribution, uniform distribution, and Gaussian distribution, for the GPR model to perform on. Addi...
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| 主要作者: | |
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| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/176492 |
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