RT info:eu-repo/semantics/article
T1 A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings
A1 Aguilar Castro, José Lisandro
A1 Garcés Jiménez, Alberto
A1 Rodríguez Moreno, María Dolores
A1 García, Rodrigo
K1 Energy management system
K1 Autonomous management architecture
K1 Smart building
K1 Artificial intelligence
K1 Systematic literature review
K1 Smart grid
K1 Informática
K1 Computer science
AB Buildings are one of the main consumers of energy in cities, which is  why a lot of research has been generated around this problem.  Especially, the buildings energy management systems must improve in the  next years. Artificial intelligence techniques are playing and will play  a fundamental role in these improvements. This work presents a  systematic review of the literature on researches that have been done in  recent years to improve energy management systems for smart building  using artificial intelligence techniques. An originality of the work is  that they are grouped according to the concept of "Autonomous Cycles of  Data Analysis Tasks", which defines that an autonomous management system  requires specialized tasks, such as monitoring, analysis, and  decision-making tasks for reaching objectives in the environment, like  improve the energy efficiency. This organization of the work allows us  to establish not only the positioning of the researches, but also, the  visualization of the current challenges and opportunities in each  domain. We have identified that many types of researches are in the  domain of decision-making (a large majority on optimization and control  tasks), and defined potential projects related to the development of  autonomous cycles of data analysis tasks, feature engineering, or  multi-agent systems, among others.
PB Elsevier
SN 1364-0321
YR 2021
FD 2021-08-17
LK http://hdl.handle.net/10017/49380
UL http://hdl.handle.net/10017/49380
LA eng
NO European Commission
DS MINDS@UW
RD 19-abr-2024