Wasserstein Metric

This book introduces the mathematical foundations of distributionally robust optimization (DRO) for decision-making problems with ambiguous uncertainties and applies them to tackle the critical challenge of energy storage sizing in renewable-integrated power systems, providing readers with an efficient and reliable approach to analyze and design real-world energy systems with uncertainties.

As in the previous meetings, the theory of copulas has arelevant place in this book, as well as promising research on the more general concept of quasi- copulas. Other papers are devoted to the theory and compatibility of distri- butions, models for survival distributions and other well-known distributions. As was traditional in the previous meetings, several papers treat the problem of measuring dependence, monotonicity and ordering. A new set of papers is devoted to proposing some statistical models in aspects such as goodness of fit assessment, testing independence, estimating association parameters, etc.