Predicting energy consumption for residential buildings using ANN through parametric modeling-Reference-Cited by-同舟云学术

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Predicting energy consumption for residential buildings using ANN through parametric modeling

Published:2021-11 Issue: Volume:7 Page:2534-2545
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Elbeltagi Emad^ORCID,Wefki Hossam

Publisher

Elsevier BV

Subject

General Energy

Reference58 articles.

1. Trees vs neurons: Comparison between random forest and ANN forhigh-resolution prediction of building energy consumption;Ahmad;Energy Build.,2017

2. Greenhouse gas emissions in the construction industry: an analysis and evaluation of a concrete supply chain;Akan;J. Cleaner Prod.,2017

3. ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia;Alshibani;J. Taibah Univ. Sci.,2017

4. Modeling of energy efficiency for residential buildings using artificial neuronal networks;Álvarez;Adv. Civ. Eng.,2018

5. Development of benchmark models for the Egyptian residential buildings sector;Attia;Appl. Energy,2012

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