A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings
Autores
Aguilar Castro, José Lisandro; Garcés Jiménez, Alberto; Rodríguez Moreno, María Dolores; García, RodrigoIdentificadores
Enlace permanente (URI): http://hdl.handle.net/10017/49380DOI: 10.1016/j.rser.2021.111530
ISSN: 1364-0321
Editor
Elsevier
Fecha de publicación
2021-08-17Patrocinadores
European Commission
Junta de Comunidades de Castilla-La Mancha
Agencia Estatal de Investigación
Cita bibliográfica
Aguilar Castro, J., Garcés Jiménez, A., Rodríguez Moreno, M.D. & García, R., 2021, "A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings", Renewable and Sustainable Energy Reviews, vol. 151, art. no. 111530.
Palabras clave
Energy management system
Autonomous management architecture
Smart building
Artificial intelligence
Systematic literature review
Smart grid
Proyectos
info:eu-repo/grantAgreement/EC/H2020/754382/EU/GOT Energy Talent/GET
info:eu-repo/grantAgreement/JCCM//SBPLY%2F19%2F180501%2F000024
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109891RB-I00/ES/MEJORA DE LA GESTION DE RECURSOS HOSPITALARIOS MEDIANTE LA PREDICCION DE LA DEMANDA CON APRENDIZAJE AUTOMATICO Y PLANIFICACION/
Tipo de documento
info:eu-repo/semantics/article
Versión
info:eu-repo/semantics/publishedVersion
Versión del editor
https://doi.org/10.1016/j.rser.2021.111530Derechos
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Derechos de acceso
info:eu-repo/semantics/openAccess
Resumen
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.
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