Moret, StefanoBierlaire, MichelMaréchal, François2016-01-152016-01-152016-01-15201610.15388/Informatica.2016.103https://infoscience.epfl.ch/handle/20.500.14299/122275WOS:000385691700008Long-term planning for energy systems is often based on deterministic economic optimization and forecasts of fuel prices.When fuel price evolution is underestimated, the consequence is a low penetration of renewables and more efficient technologies in favour of fossil alternatives. This work aims at overcoming this issue by assessing the impact of uncertainty on energy planning decisions. 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 in more efficient and cleaner technologies can be economically optimal.energy planningrobust optimizationuncertainty characterizationMixed-Integer Linear Programmingtext::journal::journal article::research article