An alternative evaluation method is to obtain simple polynomial functions which estimate the annual energy demand as a function of building envelope parameters.
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 ...
To create an accurate load model for each class, the loads were classified based on running loads as a function of annual loads. Fur- thermore, to account ...
Using SVM's as a method of building energy consumption regression has recently become popular in energy modeling literature (Ahmad et al. 2014). Ahmad ...
In the present study, simple polynomial function is used to estimate the annual energy demand as a function of building envelope physical and geometric ...
"Study on the Annual Building Load Predicting Method using a Polynomial Function." Transactions of the Korea Society of Geothermal Energy Engineers 13, no ...
Jan 15, 2015 กค Generation capacity expansion programs use the predicted annual energy and peak load demand to assess the need to build new generating units. In ...
In this paper, we review the application of machine learning techniques in building load prediction under the organization and logic of the machine learning, ...
Probabilistic Load Forecasting of Adaptive Multiple Polynomial ...
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The load forecasting interval under different scenarios is given and analyzed by using dummy variables. At last, the method is validated based on the history ...
Jul 17, 2024 กค The results showed that the cooling load prediction by the ANN model agrees well with the physics-based building energy simulation at a fraction ...