@misc{10481/55226,
year = {2018},
month = {3},
url = {http://hdl.handle.net/10481/55226},
abstract = {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.},
organization = {This research has been partially supported by the European Regional Development Fund
(FEDER) within the framework of the Interreg program V-A Spain-Portugal 2014–2020 (PocTep) under the
IOTEC project grant 0123_IOTEC_3_E and by the Spanish Ministry of Economy, Industry and Competitiveness
and the European Social Fund under the ECOCASA project grant RTC-2016-5250-6. The research of Alfonso
González-Briones has been co-financed by the European Social Fund (Operational Programme 2014–2020 for
Castilla y León, EDU/310/2015 BOCYL).},
publisher = {MDPI},
keywords = {Smart building},
keywords = {Ubiquitous computing},
keywords = {Intelligent management},
keywords = {Case-based reasoning},
title = {Energy Optimization Using a Case-Based Reasoning Strategy},
doi = {10.3390/s18030865},
author = {González-Briones, Alfonso and Prieto, Javier and De La Prieta, Fernando and Herrera Viedma, Enrique and Corchado, Juan M.},
}