This paper discusses the use of a building thermal analysis methodology in which the stochastic nature of the external climates and randomness of physical parameters are considered. Methods of thermal calculation which give the density function of the room air temperature and heating and/or cooling loads are proposed. Weather data is modeled by linear time series models with white noises as inputs, which take into account the auto-correlations and cross-correlations of the raw climatic data.
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