  The prospective participation of smart buildings in the electricity system is
strongly related to the increasing active role of demand-side resources in the
electrical grid. In addition, the growing penetration of smart meters and
recent advances on home automation technologies will spur the development of
new mathematical tools to help optimize the local resources of these buildings.
Within this context, this paper first provides a comprehensive model to
determine the electrical consumption of a single-zone household based on
economic model predictive control. The goal of this problem is to minimize the
electricity consumption cost while accounting for the heating dynamics of the
building, smart home appliances, and comfort constraints. This paper then
identifies and analyzes the key parameters responsible for the price-responsive
behaviour of smart households.
