Thermal Control In Residential Building By Application of ANN

Abstract

In this paper smart building concept is an implementation of technology developed in the construction industry throughout the world. Artificial Neural Network (ANN ) based predictive and favorable thermal control strategies for residential buildings designed to advance thermal comfort. For residential buildings, we developed a thermal control strategy framework with ANN models incorporating the Artificial Neural Network (ANN) toolbox in MATLAB. Through the study we analyse to be found that application of ANNs in thermal control of residential building has potential for enhancing  and to developing  an indoor temperature control method that can provide comfortable thermal condition by integrating heating system control and the opening condition of building envelopes.