Due to uncontrollable renewable generation, future households have to adapt their consumption to match the production. This master's thesis explores the optimization of demand response for a prosumer equipped with distributed energy resources (DER). The research focuses on solving the energy consumption demand response problem for a household. In this study, the problem has been formulated as an optimization task. To address the problem, a Python code was written using the Pyomo optimization modeling language and the GLPK solver for MILP-type optimization problems. The prosumer, located near Helsinki, Finland, owns a villa, and the analysis spans an optimization window with hourly resolution.