Hybrid Structure to Simulate the Thermal Behavior of Pools for Different Climate Conditions and Profile of Human Activity

Abstract

In this work is proposed a hybrid structure to simulate thermal behaviors of pools. The structure uses neural representation to model the climatic data and parametric estimation to determine the variation in volume due the human activity. The new structure allows adapting the theoretical dynamic models, with variations over time for specific regional weather conditions. As a case of study, data of state of Minas Gerais (MG)-Brazil were used.