Neural networks for metamodelling the hygrothermal behaviour of building components

Author:

Tijskens Astrid,Roels Staf,Janssen HansORCID

Funder

European Union’s Horizon 2020

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference49 articles.

1. Probabilistic design and analysis of building performances: methodology and application example;Van Gelder;Energy Build.,2014

2. Annex 55 Reliability of Energy Efficient Building Retrofitting - Probability Assessment of Performance & Cost (RAP-RETRO);Janssen,2013

3. Interior insulation for wall retrofitting – a probabilistic analysis of energy savings and hygrothermal risks;Vereecken;Energy Build.,2015

4. Monte-Carlo based uncertainty analysis: sampling efficiency and sampling convergence;Janssen;Reliab. Eng. Syst. Saf.,2013

5. Comparative study of metamodelling techniques in building energy simulation: guidelines for practitioners;Van Gelder;Simul. Model. Pract. Theory,2014

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