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This work exemplifies the use of a data analysis technique applied to indoor air quality data obtained in a laboratory. The environment data is acquired with a wireless sensor system, NSensor. The sensing system, developed at the Faculty of Engineering, University of Porto (FEUP), is used for indoor environment monitoring, with the capability to store, in a remotely accessed database, air quality...
This demo exemplifies the use of a special built controller for an inline duct fan. This controller uses the temperature and humidity data, from the interior and exterior environment to implement programmable control strategies based on differential vapor pressure. The controller is able to operate the fan with variable velocity. The data from the sensors and the implemented control action are stored...
This paper uses time-frequency methods and neural networks for the analysis and forecasting of indoor temperature time series. In a first phase, the time series are processed by means of the Fourier transform and the empirical mode decomposition methods to unveil temporal patterns embedded in the data. In a second phase, neural networks are adopted for forecasting future values. The results obtained...
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