A bi-level, many-objective stochastic optimization model for handling simultaneous uncertainties in the operation of multi-carrier integrated energy systems: A hospital case study

•Developing a stochastic model using IGDT to handle many uncertainties in MIESs.•Considering risk-averse and risk-seeking decision policies in risk management.•Implementing a bi-level, many-objective model to capture system interdependencies.•Using a robust NSGA-III algorithm to solve the bi-level,...

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Veröffentlicht in:	Sustainable cities and society Jg. 127; S. 106430
Hauptverfasser:	Kiani-Moghaddam, Mohammad, Soltani, Mohsen N., Weinsier, Philip D., Arabkoohsar, Ahmad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2025
Schlagworte:	Bi-level optimization Information-gap decision theory Many-objective optimization Mixed-integer nonlinear programming Multi-carrier integrated energy systems Non-dominated sorting genetic algorithm III Multi-carrier integrated energy systems Many-objective optimization Bi-level optimization Mixed-integer nonlinear programming Information-gap decision theory Non-dominated sorting genetic algorithm III
ISSN:	2210-6707
Online-Zugang:	Volltext
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