What is it about?
The decision-making chain is fed by input parameters which are usually subject to uncertainties. The art of dealing with uncertainties has been developed in various directions and has recently become a focal point of interest.
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Why is it important?
This paper has classified different uncertainty modeling techniques for the first time Stochastic Robust optimization Fuzzy modeling Information Gap Decision Theory Z- Number
Perspectives
This article can serve as a comprehensive reference for uncertainty modeling. It tries to resolve the ambiguities regarding risk modeling tools in the energy and power system problems
Dr Alireza Soroudi
University College Dublin
In this paper, a new standard classification of uncertainty modeling techniques for the decision-making process is proposed. These methods are introduced and compared along with demonstrating their strengths and weaknesses.
Dr. Alireza Soroudi
University College Dublin
Read the Original
This page is a summary of: Decision making under uncertainty in energy systems: State of the art, Renewable and Sustainable Energy Reviews, December 2013, Elsevier,
DOI: 10.1016/j.rser.2013.08.039.
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