A portfolio selection problem under temperature uncertainty is studied.
CVaR portfolio optimization is considered for scenario-based uncertainty set.
Robust counterparts of the problem are derived using advanced uncertainty sets.
Risk references are incorporated in the suggested robust framework.
Computational experiments are presented.