Risk-averse contextual predictive maintenance and operations scheduling with flexible generation under wind energy uncertainty

Ensuring resiliency and sustainability of power systems operations under the uncertainty of the intermittent nature of renewables is becoming a critical concern while considering the integration of flexible generation resources that provide additional adjustability during planning. To address this e...

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Vydáno v:	European journal of operational research Ročník 327; číslo 1; s. 174 - 190
Hlavní autoři:	Randall, Natalie, Basciftci, Beste
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 16.11.2025
Témata:	Gaussian process regression Maintenance scheduling OR in energy Power systems Progressive hedging algorithm Stochastic integer programming Unit commitment Progressive hedging algorithm OR in energy Maintenance scheduling Unit commitment Gaussian process regression Power systems Stochastic integer programming
ISSN:	0377-2217
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