This paper provides an overview of the research dealing with optimization of pumped hydro
energy storage (PHES) systems under uncertainty. This overview can potentially stimulate …

The electric power industry is undergoing dramatic change driven by rapid technological
transformation, concern over climate change, and evolving market structures. As a result …

This paper presents several numerical applications of deep learning-based algorithms for
discrete-time stochastic control problems in finite time horizon that have been introduced in …

The valuation of the real option to store natural gas is a practically important problem that
entails dynamic optimization of inventory trading decisions with capacity constraints in the …

There is growing interest in the use of grid-level storage to smooth variations in supply that
are likely to arise with an increased use of wind and solar energy. Energy arbitrage, the …

The goal of this survey is to review the major idiosyncrasies of the commodity markets and
the methods which have been proposed to handle them in spot and forward price models …

The snowballing economic growth has reached the level where the energy industry has a
crucial impact on the future pace of development. National energy security influences the …

We present and benchmark an approximate dynamic programming algorithm that is capable
of designing near-optimal control policies for a portfolio of heterogenous storage devices in …

In this paper we consider the problem of a firm that faces a stochastic (Poisson) demand and
must replenish from a market in which prices fluctuate, such as a commodity market. We …

This paper addresses the formulation and solution of an optimal energy storage
management problem under risk consideration and transaction costs of trading energy with …