Modeling energy-efficient building loads using machine-learning algorithms for the design phase-Reference-Cited by-同舟云学术

Modeling energy-efficient building loads using machine-learning algorithms for the design phase

Published:2023-03 Issue: Volume:283 Page:112807
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Sapnken Flavian Emmanuel,Hamed Mohammad M.,Soldo Božidar,Gaston Tamba Jean

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference118 articles.

1. Forecasting natural gas: A literature survey;Tamba;International Journal of Energy Economics and Policy.,2018

2. World Energy Outlook 2021 – Analysis, IEA. (2021). https://www.iea.org/reports/world-energy-outlook-2021 (accessed May 23, 2022).

3. Improved Thermal Transmittance Measurement with HFM Technique on Building Envelopes in the Mediterranean Area, Selected Scientific Papers-Journal of;Aversa;Civil Engineering.,2016

4. B. Dandotiya, H.K. Sharma, Climate Change and Its Impact on Terrestrial Ecosystems, in: Research Anthology on Environmental and Societal Impacts of Climate Change, IGI Global, 2022: pp. 88–101.

5. Reflections on Science Communication in the Context of Global Climate Policy;Henderson,2019

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