Load Management in a Smart House

Abstract

Since a couple years ago, studies have been done in order to minimize the energy consumption at home. With that in mind, algorithms were developed to predict the energy consumption at the house and study the behaviour of the loads with the goal of minimizing the energy costs. In this dissertation, the objective was to create a model for the space heating and water heating and study their behaviour and adjust their load model to reduce the energy consumption and energy bill, and find the best energy tariffs for each case. The models consider physical parameters of the house , so the model can be a better approximation from reality. However, the problem is not only, a Energy and bill reduction, but the algorithm has to focus on the comfort of the house habitants too.