Title :
Neural models to insert climatic information in thermal model of swimming pools — simulation for different climate conditions and profile of human activity
Author :
Santos, Enock T. ; Zárate, Luis E. ; Pereira, Elizabeth M D
Author_Institution :
Lab. de Intel. Computacional Aplic., PucMinas, Belo Horizonte, Brazil
Abstract :
In this paper, a hybrid structure is proposed to simulate thermal behaviors of pools. The structure uses several neural models to represent the climatic data and a parametric estimation algorithm to determine the variation in volume due to the human activity. The new structure allows adapting the thermal dynamic model for pools, considering variations over time for different regional weather conditions. As a case study, the region of the state of Minas Gerais (MG) - Brazil was considered.
Keywords :
cooling; geophysics computing; human factors; neural nets; parameter estimation; solar heating; Brazil; Minas Gerais; climate condition; climatic information; human activity; neural model; parametric estimation algorithm; regional weather condition; swimming pool; thermal dynamic model; Artificial neural networks; Neural networks; modeling; swimming pools;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5642221