The book "Decision Making Under Uncertainty" offers a comprehensive analysis of decision-making in situations where information is incomplete or uncertain. In a world where decisions often rely on unreliable data, this academic work examines how to make informed decisions under quantifiable uncertainty. It includes a collection of articles that address modeling issues in the decision-making process within the energy and utility industries. The authors employ mathematical modeling and optimization techniques, particularly stochastic optimization, to develop solutions for complex problems. This work is aimed at both professionals and newcomers in this rapidly evolving field, which lies at the intersection of applied statistics, probability, operations research, and economic theory. It provides valuable insights and inspiration for future research.