Thermal comfort conditions in the built environment are strictly related not only to the thermal and geometric building features and to air-conditioning systems, but also to the building using profile and to the biological-metabolic-psychological characteristics of the users. Consequently it is useful to formalize new models, both subjective and adaptive to the environmental scenery, in a particular holistic vision of the problem, strongly addressed towards the personalization of the service. Through the paper the characterization of a model, enriching that proposed by Fanger with an adaptive approach, is carried out using a Multi Agent System (MAS), an Intelligent Agent able to follow user in his own needs and preferences and to adapt to the changes of context variables.

A Subjective Adaptive Approach for Comfort in Indoor Environments based on Multi-Agent Systems / A., Pudano; Marino, Concettina; Nucara, Antonino Francesco; Pietrafesa, Matilde Mariarosa Consolata. - (2008), pp. 1827-1834. (Intervento presentato al convegno The First International Conference on Building Energy and Environment (COBEE) tenutosi a Dalian, China nel July, 13-16, 2008).

A Subjective Adaptive Approach for Comfort in Indoor Environments based on Multi-Agent Systems

MARINO, Concettina;NUCARA, Antonino Francesco;PIETRAFESA, Matilde Mariarosa Consolata
2008-01-01

Abstract

Thermal comfort conditions in the built environment are strictly related not only to the thermal and geometric building features and to air-conditioning systems, but also to the building using profile and to the biological-metabolic-psychological characteristics of the users. Consequently it is useful to formalize new models, both subjective and adaptive to the environmental scenery, in a particular holistic vision of the problem, strongly addressed towards the personalization of the service. Through the paper the characterization of a model, enriching that proposed by Fanger with an adaptive approach, is carried out using a Multi Agent System (MAS), an Intelligent Agent able to follow user in his own needs and preferences and to adapt to the changes of context variables.
2008
978-0-9816881-6-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/18484
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