公开(公告)号：EP4266134A1

公开(公告)日：2023-10-25

申请号：EP23167995.2

申请日：2023-04-14

申请人： Immergas S.p.A.

发明人： TESTI, Daniele ,  SCHITO, Eva ,  CONTI, Paolo ,  DELLA VISTA, Davide ,  ZAMBRELLI, Cristian ,  BRONZONI, Cristiana

IPC分类号： G05B13/02 ,  G05B15/02

摘要： Computer-implemented method (100) for training a machine learning system to predict the thermal power supplied by a heat generator located in a predefined environment, particularly in a building, the method (100) comprising the following steps:
detecting a set of temperature values of the air of the predefined environment (101);
detecting a set of delivery and return temperature values of a heat transfer fluid (102, 103);
calculating hourly average values on the sets of values detected (110); calculating values of hourly average power supplied by the heat generator (111);
applying a linear regression model (112) to the calculated average power values;
applying a non-linear regression model (113) to the average hourly values of the temperature of the air of the predefined environment, to the average hourly values of the delivery temperature of the heat transfer fluid, and to the calculated average power values.