Development of a Methodology for Estimating the Heat Loss of Buildings based on Neural Networks

Abstract

The study describes a methodology for estimating the heat loss of a building, including the calculation of the heat loss of a building. The features of the wooden housing stock were studied for developing a methodology for estimating the heat loss of a building based on neural networks. The stage of images collecting for training a neural network, the stage of training an optimal neural network for solving the problem of object detection are described. The technologies necessary to solve the problem are described.