Suaza Cano, Kevin AndrésCastillo García, Javier Ferney2020-10-232020-10-232020-03-03978-303042519-71865-0929http://repositorio.usc.edu.co/handle/20.500.12421/4506Electricity demand management is the process of making appropriate use of energy resources. This process is carried out with the aim of achieving a reduction in electricity consumption. The electrical demand management algorithms are implemented in a domotic system that has the capacity to identify electrical loads using artificial neural networks. An analysis was carried out on the most important physical variables in the home, which have a direct relationship with energy consumption, and strategies were proposed on how to carry out a correct control over these, in search of generating energy savings without affecting comfort levels in the home. It was obtained, as a result that it is possible to generate an energy saving of 63% in comparison to a traditional house, this without affecting to a great extent the comfort of the user and allowing a great level of automation in the home.enDemand managementDomotic systemNeural networkArticle