The intermittent nature of renewable energy resources such as wind and solar causes the
energy supply to be less predictable leading to possible mismatches in the power network …

Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Stochastic dynamic vehicle routing problems have become an essential part of logistics and
mobility services. In such problems, a sequence of vehicle routing decisions has to be made …

What is reinforcement learning? How is reinforcement learning different from stochastic
optimization? And finally, can it be used for applications to quantitative finance for my current …

There has been a paradigm-shift in urban logistic services in the last years; demand for real-
time, instant mobility and delivery services grows. This poses new challenges to logistic …

Abstract The field of MultiSector Dynamics (MSD) explores the dynamics and co‐
evolutionary pathways of human and Earth systems with a focus on critical goods, services …

Energy is a vital resource for human activities and lifestyle, powering important everyday
infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil …

The state of the art for optimal water reservoir operations is rapidly evolving, driven by
emerging societal challenges. Changing values for balancing environmental resources …

Uncertainties are widespread in the optimization of process systems, such as uncertainties
in process technologies, prices, and customer demands. In this paper, we review the basic …

We consider a stochastic dynamic pickup and delivery problem in which a fleet of drivers
delivers food from a set of restaurants to ordering customers. The objective is to dynamically …