Heating and cooling load

The present study introduces a set of machine learning-based models to predict the heating and cooling loads in buildings. This includes back-propagation artificial neural network, generalized regression neural network, radial basis neural network, radial kernel support vector machines and ANOVA kernel support vector machines.

6p tohitohi 22-05-2020 20 1   Download

All solutions to engineering problems start with a calculation or estimation of the duty which must be met (i.e., quantifying the problem). The purpose of heating and cooling load calculations, then, is to quantify the heating and/or cooling loads in the space(s) to be conditioned. Rough estimates of load may be made during the concept design phase.

56p babyuni 16-08-2010 144 40   Download