Abstract
The Heat Pump with geothermal exchanger is one of the best methods to heat up a building. The heat exchanger is one of the most representative elements when a heat pump is employed as building heating system. In the present study, a novel intelligent system was designed to predict the performance of on this kind of heating equipment. The novel approach has been successfully empirically tested under a real dataset obtained during measurements along one year. It was based on time series modeling. Then, the model was validated and verified; it obtains good results in all the operating conditions ranges.
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Baruque, B., Jove, E., Casteleiro-Roca, J. L., Porras, S., Calvo-Rolle, J. L., & Corchado, E. (2018). Bioclimatic house heat exchanger behavior prediction with time series modeling. In Advances in Intelligent Systems and Computing (Vol. 649, pp. 112–124). Springer Verlag. https://doi.org/10.1007/978-3-319-67180-2_11
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