Abstract
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. An intelligent system architecture integrating neural networks, expert systems and negotiating agents technologies is designed to optimize intelligent building’s performance. Results are promising and encourage further research in the field of AI applications in building automation systems.
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Sierra, E., Hossian, A., Rodríguez, D., García-Martínez, M., Britos, P., García-Martínez, R. (2008). Intelligent Systems Applied to Optimize Building’s Environments Performance. In: Bramer, M. (eds) Artificial Intelligence in Theory and Practice II. IFIP AI 2008. IFIP – The International Federation for Information Processing, vol 276. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09695-7_23
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DOI: https://doi.org/10.1007/978-0-387-09695-7_23
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