Open AccessUse of the multi-factor regression model for temperature control in structurally isolated rooms of the railway stations
Author(s) -
V. S. Tynchenko,
И. В. Маркевич,
A.R. Ogol,
O. V. Baryshnikova,
D V Rogova,
O. N. Kotova
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1151/1/012044
Subject(s) - multivariate statistics , regression analysis , temperature control , regression , control (management) , multivariate analysis , statistics , computer science , econometrics , environmental science , mathematics , engineering , artificial intelligence , mechanical engineering
The article is devoted to the analysis and construction of a multivariate regression model. The mode of operation of generalized heat points is considered. The positive and negative aspects of using heat points to maintain the temperature at the desired level have been identified. The analysis of the multivariate model is carried out. The input data for the generated model has been defined. The factors that affect the temperature in structurally isolated rooms have been identified. A multifactorial regression model of temperature control in heated rooms has been built, with the help of which it is possible to determine how much heat needs to be supplied to a particular structurally isolated room, which will allow more efficient use of resources to maintain the temperature at the required level.