An alternative evaluation method is to obtain simple polynomial functions which estimate the annual energy demand as a function of building envelope parameters.

In the present study, simple polynomial function is used to estimate the annual energy demand as a function of building envelope physical and geometric ...

Dec 1, 2020 ¡¤ This study aims to develop machine learning based load prediction model for residential building, five machine-learning models have been utilised for the ...

This article presents a comparative analysis of two prominent machine learning techniques for predicting electricity consumption in workplace lighting systems.

Using SVM's as a method of building energy consumption regression has recently become popular in energy modeling literature (Ahmad et al. 2014). Ahmad ...

Nov 10, 2020 ¡¤ Before applying the polynomial equation, first, we made four sets of couples from the given eight attributes, where each couple is expanding up ...

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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Abstract. The monthly or yearly low accurate history data always leads to the low prediction- accuracy for load forecasting. We use temperature data from ...

This research investigates various ML methods for predicting energy efficiency in buildings, with a particular emphasis on heating and cooling loads.

On the premise of large sample data, the use of polynomial regression can also achieve better prediction results. Regression analysis takes polynomial ...