Neural Control of Thermal Comfort Considering User Vote
نویسندگان
چکیده
In modern office buildings, the customary trend is to use state of the art technology to ensure the users find it thermally comfortable, among other variables. Among the various statistical studies on comfort index vs. work efficiency of users, the most widely adopted index is the Predicted Mean Vote (PMV). Due to the subjective variables involved in computing the comfort index, it has to be contrasted with the real comfort sensation of persons. Taking into account these premises, the present work proposes a control scheme that shows the capability of neural networks of not only modifying the environmental conditions of the space but also of adapting the thermal comfort index to the requirements of the space users.
منابع مشابه
Predicting the desired thermal comfort conditions for shared offices
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