Methods and Algorithms for the Interaction of Residential Smart Buildings with Smart Grids

Smart buildings are essential for future smart grids. We propose a general method and algorithms to integrate residential smart buildings with smart grids. Such integration has to deal with the ability for the smart building to forecast its energy consumption, the proposed method is able to learn the building occupants habits and to use such information to forecast the energy consumption. Moreover, we present a method for selecting the most appropriate appliance usage scheduling given a energy reduction request coming from the smart grid.