A gradient-based framework that jointly calibrates wind forecast models and the size of a distributionally robust ambiguity set to minimize two-stage power market costs.
Prescribed robustness in optimal power flow,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach
A gradient-based framework that jointly calibrates wind forecast models and the size of a distributionally robust ambiguity set to minimize two-stage power market costs.