Abstract
This article describes an intelligent system architecture that based on neural networks, expert systems and negotiating agents technologies is designed to optimize intelligent building's performance. By understanding a building as a dynamic entity capable of adapting itself not only to changing environmental conditions but also to occupant's living habits, high standards of comfort and user satisfaction can be achieved. Results are promising and encourage further research in the field of artificial intelligence applications in building automation systems. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Sierra, E., Hossian, A., Rodríguez, D., García-Martínez, M., Britos, P., & García-Martínez, R. (2008). Optimizing building’s environments performance using intelligent systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5027 LNAI, pp. 486–491). https://doi.org/10.1007/978-3-540-69052-8_51
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