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 ...

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

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

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 ...

HIGHLIGHTS. • This paper reviews building load prediction with machine learning techniques. • Review and technical papers are searched by Sub-keyword Synonym ...

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

Jan 15, 2015 ¡¤ Generation capacity expansion programs use the predicted annual energy and peak load demand to assess the need to build new generating units. In ...

To predict cooling load, authors have modelled two methods of artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in conjunction ...

This study aims to use different machine learning (ML) algorithms for very-short-term load forecasting (VSTLF) of energy requirements in a household and ...

Jun 24, 2021 ¡¤ This thesis work focuses on short-term load forecasting at a building level, which is more challenging and will be taken as the pre-work for ...