A novel integrated stochastic programming-information gap decision theory (IGDT) approach for optimization of integrated energy systems (IESs) with multiple uncertainties
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Title
A novel integrated stochastic programming-information gap decision theory (IGDT) approach for optimization of integrated energy systems (IESs) with multiple uncertainties
Authors
Keywords
Uncertainty, Integrated energy system, Information gap decision theory, Stochastic programming
Journal
APPLIED ENERGY
Volume 314, Issue -, Pages 119002
Publisher
Elsevier BV
Online
2022-03-30
DOI
10.1016/j.apenergy.2022.119002
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