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The prospective participation of smart buildings in the electricity system isstrongly related to the increasing active role of demand-side resources in theelectrical grid. In addition, the growing penetration of smart meters andrecent advances on home automation technologies will spur the development ofnew mathematical tools to help optimize the local resources of these buildings.Within this context, this paper first provides a comprehensive model todetermine the electrical consumption of a single-zone household based oneconomic model predictive control. The goal of this problem is to minimize theelectricity consumption cost while accounting for the heating dynamics of thebuilding, smart home appliances, and comfort constraints. This paper thenidentifies and analyzes the key parameters responsible for the price-responsivebehaviour of smart households.

How Can Smart Buildings Be Price-Responsive?