The rapidly increasing penetration of electric vehicles in modern metropolises has been
witnessed during the past decade, inspired by financial subsidies as well as public …

With the fast-growing demand in the electricity market of the last decades, attention has
been focused on alternative and flexible sources of energy such as hydro valleys. Managing …

This article proposes a cooperative energy market model for an active Distribution Network
(DN) by using the theory of Generalized Nash Bargaining (GNB). The proposed energy …

Many optimal decision problems in scientific, engineering, and public sector applications
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …

We develop a modular and tractable framework for solving an adaptive distributionally
robust linear optimization problem, where we minimize the worst-case expected cost over an …

This paper proposes a mixed-integer conic programming formulation for the minimum loss
distribution network reconfiguration problem. This formulation has two features: first, it …

Second-order cone programming (SOCP) problems are convex optimization problems in
which a linear function is minimized over the intersection of an affine linear manifold with the …

A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP)
problems using standard formulation techniques. However, in some cases the resulting MIP …

Nonnegative matrix factorization (NMF) has become a widely used tool for the analysis of
high-dimensional data as it automatically extracts sparse and meaningful features from a set …

We explicitly characterize the robust counterpart of a linear programming problem with
uncertainty set described by an arbitrary norm. Our approach encompasses several …