Abstract
The definition of effective energy saving strategies capable of satisfying users’ requirements for environmental wellness is a complex task that requires the definition of well-tuned optimization algorithms. Sensory information depends on the environments observed, hence the model adopted to describe it should be adaptive and dynamic. This chapter presents a methodology for the tuning of a fuzzy controller capable of minimizing energy consumption while maximizing the users comfort in an Ambient Intelligence Scenario. A meta-heuristic search algorithm produces different sets of fuzzy rules depending on the needs of the system. An ontology has been developed to describe the configurations of environments and user requirements, thus enabling automatic reconfiguration of the whole system.
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This work has been partially supported by the PO FESR 2007/2013 grant G73F11000130004 funding the SmartBuildings project.
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De Paola, A., Lo Re, G., Pellegrino, A. (2014). A Fuzzy Adaptive Controller for an Ambient Intelligence Scenario. In: Gaglio, S., Lo Re, G. (eds) Advances onto the Internet of Things. Advances in Intelligent Systems and Computing, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-319-03992-3_4
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DOI: https://doi.org/10.1007/978-3-319-03992-3_4
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