Using Telemetry Data to Predict the Estimated Heat Load on Heating

Abstract

The article is a continuation of a series of articles on the use of telemetry data of heat network parameters. In the first article, a data verification system based on consistency with physical laws is considered. The second article is devoted to the use of regression analysis to verify telemetry data. The proposed article shows the use of telemetry data to evaluate and predict one of the most important parameters of the heating network – the estimated heating load.
 The presented results indicate that it is not enough just to analyze the calculated heat load recalculated for the current conditions and compare these values with the actual consumption. It is necessary to simultaneously analyze the deviation of the temperature difference at the outlet and entrance to the TSC with the normalized parameters of thermal graphs.