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Abstract:This paper presents a stochastic multi-agent optimization model that supports energy infrastruc-
ture planning under uncertainty. The interdependence between di?erent decision entities in the
system is captured in an energy supply chain network, where new entrants of investors compete
among themselves and with existing generators for natural resources, transmission capacities,
and demand markets. Directly solving the stochastic energy supply chain planning problem
is challenging. Through decomposition and reformulation, we convert the original problem to
many tra?c network equilibrium problems, which enables e?cient solution algorithm design.
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