Moret, StefanoBierlaire, MichelMaréchal, François2014-09-292014-09-292014-09-292014https://infoscience.epfl.ch/handle/20.500.14299/107084Long-term planning for energy systems is often based on deterministic economic optimization and unreliable forecasts of fuel prices. Usual consequence is a low penetration of renewables and more efficient technologies in favor of fossil alternatives. A classification of uncertainty in energy systems decision-making is performed. Robust optimization is then applied to a Mixed-Integer Linear Programming problem, representing the typical trade-offs in energy planning. It is shown that in the uncertain domain, investing on more efficient and cleaner technologies can be economically optimal.energy planningrobust optimizationuncertaintyenergy strategytext::conference output::conference presentation