Neural models to insert climatic information in thermal model of swimming pools - simulation for different climate conditions and profile of human activity

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 th...

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Bibliographic Details
Main Authors: Santos, E T, Zarate, L E, Pereira, E M D
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
modeling
Neural networks
swimming pools
Online Access:Request full text
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Summary: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.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2010.5642221