R Yan, J Wang, S Huo, Y Qin, J Zhang, S Tang… - Energy, 2023 - Elsevier
A strong heat-power coupling limitation, uncontrollable renewable energy, and the grid's limited adjustment capacity deteriorate the operational performance and increase the …
This is a substantial revision of the previous edition with added new material. The presentation of Chapter 6 is updated. In particular the Interchangeability Principle for risk …
The topic of this book is multistage stochastic optimization. Multistage reflects the fact that an optimal decision is an entire strategy or policy, which is executed during subsequent instants …
In this paper, we discuss the evaluation of quality/suitability of scenario-generation methods for a given stochastic programming model. We formulate minimal requirements that should …
This book is the first in the market to treat single-and multi-period risk measures (risk functionals) in a thorough, comprehensive manner. It combines the treatment of properties of …
H Heitsch, W Römisch - Mathematical Programming, 2009 - Springer
An important issue for solving multistage stochastic programs consists in the approximate representation of the (multivariate) stochastic input process in the form of a scenario tree. In …
To make informed decisions in futures markets of electric energy, stochastic programming models are commonly used. Such models treat stochastic processes via a set of scenarios …
Stochastic programming involves large-scale optimization with exponentially many scenarios. This paper proposes an optimization-based scenario reduction approach to …
An inventory management problem is addressed for a make-to-order supply chain that has inventory holding and/or manufacturing locations at each node. The lead times between …