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Estimating Periodic Thermal Properties with Artificial Intelligence

Identifiers
URI: http://hdl.handle.net/20.500.12251/2703
View/Open: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096539659&doi=10.1007%2f978-3-030-63629-6_5&partnerID=40&md5=04861a914d30ee8cf5fc0a4e73daa550
ISBN: 2191530X
DOI: 10.1007/978-3-030-63629-6_5
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Author
Bienvenido Huertas, David; Rubio Bellido, Carlos
Date
2021
Subject/s

Propiedades térmicas estacionarias

Inteligencia Artificial

Simulación energética - herramientas

Transmitancia térmica

Redes neuronales

Comportamiento térmico

Unesco Subject/s

3311.02 Ingeniería de Control

3305.90 Transmisión de Calor en la Edificación

2501.21 Simulación Numérica

Abstract

This chapter aims to develop a mathematical model through MLP and RF to estimate the periodic thermal properties of ISO 13786 through in situ measured variables. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

This chapter aims to develop a mathematical model through MLP and RF to estimate the periodic thermal properties of ISO 13786 through in situ measured variables. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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