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...
Enregistré dans:
Auteurs principaux: | , |
---|---|
Format: | article |
Langue: | EN |
Publié: |
AIDIC Servizi S.r.l.
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/c7f5f5a04f724a3c8f5deb83551205b6 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Soyez le premier à ajouter un commentaire!