Robust Optimization for Environmental and Energy Planning

F. Babonneau (), J.-P. Vial () and R. Apparigliato ()
Additional contact information
F. Babonneau: ORDECSYS
J.-P. Vial: ORDECSYS
R. Apparigliato: GdF-Suez

Chapter Chapter 3 in Uncertainty and Environmental Decision Making, 2009, pp 79-126 from Springer

Abstract: Abstract Uncertainty is often present in environmental and energy economics. Traditional approaches to optimization under uncertainty, e.g., stochastic programming, chance-constrained programming or stochastic dynamic programming, encounter the most severe numerical difficulties because models in this area are large and complex, already in their deterministic formulation. The goal of the present chapter is to introduce a relatively new field, known as robust optimization, as an alternative to traditional methods and formulations. Through an illustrative example, we suggest ways of putting robust optimization at work in environmental and energy optimization models.

Keywords: Stochastic Programming; Robust Optimization; Robust Solution; Energy Planning; Robust Counterpart (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-1-4419-1129-2_3

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