The intermittent nature of renewable energy resources creates extra challenges for the
operation and control of the electricity grid. Demand flexibility markets can help in dealing …

Demand response (DR) management has become one of the key enabling technologies for
smart grids. Motivated by the increasing DR incentives offered by service operators, more …

Traditional studies of combinatorial auctions often only consider linear constraints. The rise
of smart grid presents a new class of auctions, characterized by quadratic constraints. This …

We consider the problem of scheduling complex-valued demands over a discretized time
horizon. Given a set of users, each user is associated with a set of demands representing …

The classical optimal power flow (OPF) problem optimizes the power flow in a power
network considering the associated flow and operating constraints. In this paper, we …

Automatic classification of electric appliances has many applications such as automated
demand response, human activity observation, and energy analysis. We present a smart …

The problem of pollution control has been mainly studied in the environmental economics
literature where the methodology of game theory is applied for the pollution control. To the …

Stimulated by salient applications arising from power systems, this paper studies a class of
non-linear Knapsack problems with non-separable quadratic constrains, formulated in either …

To cope with the high-level penetration of electric vehicles (EVs), an intelligent scheduling
mechanism for EV charging is required for maintaining the electricity grid within the …

The aim of this paper is to study approximation algorithms for a class of binary packing
problems with quadratic constraints, where the constraint matrices are completely positive …