No abstract

it is possible to observe that for large areas the number of meteorological stations is small or they are improperly distributed. In environments or systems whose climatic variables impact directly or indirectly in the production, it is necessary to know or at least be able to estimate climate data to improve the production of the processes. To meet this demand, in this paper a representation of weather data for large areas through artificial neural networks (ANN) is proposed. All the procedures adopted are detailed which allow to be used to represent other regions. The main input variables of the neural model are the latitude, longitude and altitude.

No 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.