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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Veröffentlicht in:	European journal of operational research Jg. 327; H. 1; S. 174 - 190
Hauptverfasser:	Randall, Natalie, Basciftci, Beste
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 16.11.2025
Schlagworte:	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
Online-Zugang:	Volltext
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