Electric energy consumption predictions for residential buildings: Impact of data-driven model and temporal resolution on prediction accuracy-Reference-Cited by-同舟云学术

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Electric energy consumption predictions for residential buildings: Impact of data-driven model and temporal resolution on prediction accuracy

Published:2022-12 Issue: Volume:62 Page:105361
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Kim Jiwon,Kwak Younghoon,Mun Sun-Hye,Huh Jung-Ho^ORCID

Funder

National Research Foundation of Korea

University of Seoul

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

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

Reference44 articles.

1. A multi-country meta-analysis on the role of behavioural change in reducing energy consumption and CO2 emissions in residential buildings;Khanna;Nat. Energy,2021

2. A hybrid model approach for forecasting future residential electricity consumption;Dong;Energy Build.,2016

3. A review of data-driven building energy consumption prediction studies;Amasyali;Renew. Sustain. Energy Rev.,2018

4. Life cycle energy assessment of university buildings in tropical climate;Chang;J. Clean. Prod.,2019

5. State of the art in building modelling and energy performances prediction: a review;Foucquier;Renew. Sustain. Energy Rev.,2013

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