Patent ID: 9645563
Date: 2017-05-09
CPC Classifications: F24F,G05B

Claim:
1. A method for tuning a data model structure including: predicting, using a computing device, a variable for each of a number of models associated with a number of model structures of a dynamic system, wherein each of the number of model structures include a dependency between variables of a model among the number of models; calculating, using the computing device, a rate of error of the predicted variable for each of the number of models compared to an observed variable; determining, using the computing device, a best model structure and a worst model structure among the number of model structures based on the calculated rate of error; creating, using the computing device, a revised model structure using the best model structure by combining a plurality of model structures among the number of model structures; tuning the number of model structures of the dynamic system by defining a number of new model structures eligible to be the best model structure and replacing the worst model structure with the revised model structure; and controlling, using the computing device, a heating, ventilation, and air-conditioning (HVAC) system by using the best model structure to optimize control variables associated with controllers of the HVAC system.