Titlebook: Optimization of the Characterization of the Thermal Properties of the Building Envelope; Analysis of the Char David Bienvenido-Huertas,Carl

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David Bienvenido-Huertas,Carlos Rubio-BellidoPresents an artificial intelligence based approach to characterise thermal properties of building envelopes.Explains the importance of thermal properties in the energy performance of buildings.Analyse

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The Influence of the Envelope Thermal Properties on Building Energy Performance,From ancient times, human beings have taken advantage of natural resources as much as possible for their own benefit, although that advantage is limited in order to guarantee the environment sustainability.

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Methodological Framework of Artificial Intelligence Algorithms and Generation of the Dataset,The analysis of the state-of-the-art methods to characterize thermal properties has shown the importance of the theoretical methods (both of stationary and periodic properties) and the difficulty to characterize the existing buildings correctly.

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Estimation of Stationary Thermal Properties with Artificial Intelligence,This chapter aims to develop a mathematical model by using MLP and RF to estimate the thermal transmittance of ISO 6946 (.) through in situ measured variables. For this purpose, the scheme of variables of HFM and THM is used.

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