Abstract: This paper presents a computation-efficient stochastic dynamic programming algorithm for solving energy storage price arbitrage considering variable charge and discharge efficiencies. We ...

Stochastic processes involving randomness dominate in many areas of natural and man made systems. Describing their evolution quantitatively requires powerful theory from the fields of probability, ...

Abstract: In this study, we use a stochastic representation of wind for medium/long-term planning problems that are associated with the operation of hydro-thermal systems. The stochastic dual dynamic ...

This is an mini-course on "Deep Learning for Solving Dynamic Stochastic Models", held from Wednesday, May 22nd, 2024 2 - Friday, May 24th, 2024 at Central-German Doctoral Program Economics, University ...

Discovering the rules of synaptic plasticity is an important step for understanding brain learning. Existing plasticity models are either (1) top-down and interpretable, but not flexible enough to ...

Dr. Katehakis is a distinguished professor at Rutgers University and chair of the Department of Management Science & Information Systems. He holds a courtesy appointment in Rutgers' New Brunswick ...

The 2021 Nobel prize for physics was awarded to two climate scientists, Syukuro Manabe and Klaus Hasselmann, and the physicist Giorgio Parisi. While at first sight the work of Parisi seems not to be ...