The optimization of decentralized energy systems is an important practical problem that can be modeled using stochastic programs and solved via their large-scale, deterministic equivalent formulations. Unfortunately, using this approach, even when leveraging a high degree of parallelism on large...

Under normality, the Bayesian estimation problem, the best linear unbiased estimation problem, and the restricted least-squares problem are all equivalent. As a result we need not compute pseudo-inverses and other complicated functions, which will be impossible for large sparse systems. Instead,...

In this paper, we describe the results from an academic and industry collaboration to address the bulk tank allocation problem for industrial gas distribution systems where customer demand varies over time. The bulk tank allocation problem determines the preferred size of bulk tanks to assign to...