In this paper, we present an investigation of the possibility to use a neural network combined with a quasi-physical description in order to predict the annual ...
Study on the Annual Building Load Predicting Method using a Polynomial Function. Citing Article. March 2017. Transactions of the Korea Society of Geothermal ...
The load model parameters can be determined using the measurement-based method, a top-down approach, or the component-based method, a bottom-up approach. The.
By using the 4th polynomial function that have two double radix and a feature the f(x) = a4 in x = 0 condition, we can calculate annual building load very ...
An alternative evaluation method is to obtain simple polynomial functions which estimate the annual energy demand as a function of building envelope parameters.
Using SVM's as a method of building ... and J. F. Jr, ¡°A large-scale study on predicting and contextualizing building energy usage," 2016. [9]. H. Zhao and F.
KJACR - Korean Journal of Air-Conditioning and Refrigeration ...
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... Study on the Annual Building Load Predicting Method using a Polynomial Function, Transactions of the Korea society of Geothermal Energy Engineers, Vol. 13 ...
Study on the Annual Building Load Predicting Method using a Polynomial Function ... a predicting method of annual building load. By using the 4th 4 t h ...
Jul 21, 2022 ¡¤ Polynomial regression, MARS, kriging, radial basis function networks and neural networks were compared when predicting energy needs for heating.
The focus is on developing a comprehensive and accurate predictive model for building cooling load (BCL) to enhance energy efficiency and reduce carbon ...