We consider linked top-down and bottom-up models in which the top-down model is a mixed-complementarity program describing a macroeconomic system, while the bottom-up model is a linear program describing the energy system. We introduce a coordination algorithm that speeds up convergence for the...

A stochastic formulation of the natural gas cash-out problem is given in a form of a bilevel multi-stage stochastic programming model with recourse. After reducing the original formulation to a bilevel linear problem, a stochastic scenario tree is defined by its node events, and time series...

Predicting gas component prices over different horizons is important for both energy producers and consumers. In this study, we model and predict the joint dynamics of butanes, propane and naphtha traded in the north European market. Our approach is to use multivariate time series with...