Energy Optimization Using a Case-Based Reasoning Strategy González-Briones, Alfonso Prieto, Javier De La Prieta, Fernando Herrera Viedma, Enrique Corchado, Juan M. Smart building Ubiquitous computing Intelligent management Case-based reasoning At present, the domotization of homes and public buildings is becoming increasingly popular. Domotization is most commonly applied to the field of energy management, since it gives the possibility of managing the consumption of the devices connected to the electric network, the way in which the users interact with these devices, as well as other external factors that influence consumption. In buildings, Heating, Ventilation and Air Conditioning (HVAC) systems have the highest consumption rates. The systems proposed so far have not succeeded in optimizing the energy consumption associated with a HVAC system because they do not monitor all the variables involved in electricity consumption. For this reason, this article presents an agent approach that benefits from the advantages provided by a Multi-Agent architecture (MAS) deployed in a Cloud environment with a wireless sensor network (WSN) in order to achieve energy savings. The agents of the MAS learn social behavior thanks to the collection of data and the use of an artificial neural network (ANN). The proposed system has been assessed in an office building achieving an average energy savings of 41% in the experimental group offices. 2019-03-27T09:40:52Z 2019-03-27T09:40:52Z 2018-03-15 info:eu-repo/semantics/article González-Briones, A. [et al.]. Optimization Using a Case-Based Reasoning Strategy. Sensors 2018, 18, 865. [doi: 10.3390/s18030865] 1424-8220 http://hdl.handle.net/10481/55226 10.3390/s18030865 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI