Unit Commitment under Uncertainty using Data-Driven Optimization with Clustering Techniques
This paper proposes a novel robust unit commitment (UC) framework with data-driven disjunctive uncertainty sets for volatile wind power outputs, assisted by machine learning techniques. To flexibly identify the uncertainty space based on wind power forecast error data with disjunctive structures, th...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
AIDIC Servizi S.r.l.
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/c7f5f5a04f724a3c8f5deb83551205b6 |
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