… part, we describe the regression method used to predict the energy demand Y ^ of the energy consumption Y. A … We implement multiplelinearregression (MLR), also known as multiple …
… predictingseveral variables in relation to building's energy demand and energyconsumption. … matter in the development of prediction models related to energy demand in buildings [17] …
… prediction of building energyconsumption is quite difficult and has become one of the main objectives of several … and simplified forecast approaches have been proposed and applied to …
A Aranda, G Ferreira, MD Mainar-Toledo… - Energy and …, 2012 - Elsevier
… This paper presents a regression analysis of energyconsumption … multiplelinearregression analysis was adopted to estimate alternative models for predicting the energyconsumption …
… This paper presents a new model to predict and quantify energyconsumption in commercial buildings in the early stages of building design. Building simulation software including …
… simulation software DOE-2 was used to predictenergyconsumption. A total of 17 key … multiplelinearregression models were developed to predict annual energyconsumption for …
A Sretenović, B Živković… - … Međunarodnog kongresa o …, 2017 - izdanja.smeits.rs
… Considering the constant growth of interest in energy efficiency in the building … prediction and analysis of building energyconsumption. In this paper cooling consumption of the model of …
T Catalina, V Iordache, B Caracaleanu - Energy and buildings, 2013 - Elsevier
… a model to predict the heating energy demand, based on the main factors that influence a building's heat consumption. … relative errors in the energyconsumptionprediction of about 50% …
C Li, Z Ding, D Zhao, J Yi, G Zhang - Energies, 2017 - mdpi.com
… neural network (GRBFNN) and multiplelinearregression (MLR). Experimental results … energyconsumptionpredictionmodel. In [7], linearregression was applied to estimate electricity …