Abstract
Many engineering and science problems are subject to uncertainty due to the inherent randomness of natural phenomena and/or to the imperfect knowledge of the variables determining the functional state of the human-created structures. In this context, computational methods that tackle uncertainty allow engineers and scientists to propose solutions less sensitive to environmental influences, while achieving simultaneously cost reduction, profit gains, and/or reliability improvement.
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© 2010 Springer US
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Conejo, A.J., Carrión, M., Morales, J.M. (2010). Uncertainty Characterization via Scenarios. In: Decision Making Under Uncertainty in Electricity Markets. International Series in Operations Research & Management Science, vol 153. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7421-1_3
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DOI: https://doi.org/10.1007/978-1-4419-7421-1_3
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Online ISBN: 978-1-4419-7421-1
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