Sequence-to-sequence deep learning model for building energy consumption prediction with dynamic simulation modeling-Reference-Cited by-同舟云学术

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Sequence-to-sequence deep learning model for building energy consumption prediction with dynamic simulation modeling

Published:2021-11 Issue: Volume:43 Page:102577
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Kim Chul Ho^ORCID,Kim Marie,Song Yu Jin

Funder

Ministry of Science and ICT, South Korea

National Research Council of Science and Technology

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference53 articles.

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2. Synthesis Report IPCC Climate Change 2014 Synthesis Report;The Core Writing Team of IPCC,2015

3. Establishing and Understanding Post-2020 Climate Change Mitigation Commitments;Briner,2013

4. Post-2020 climate agreements in the major economies assessed in the light of global models;Tavoni;Nat. Clim. Change,2015

5. Assessing the ambition of post-2020 climate targets: a comprehensive framework;Höhne;Clim. Pol.,2017

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