Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty Handling Perspective
Due to growing concerns regarding climate change and environmental protection, smart power generation has become essential for the economical and safe operation of both conventional thermal power plants and sustainable energy. Traditional first-principle model-based methods are becoming insufficient...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2021
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| Accès en ligne: | https://doaj.org/article/b65f85a5c83243b6b2c87839a2f619e0 |
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