Driving forces and typologies behind household energy consumption disparities in China: A machine learning-based approach-Reference-Cited by-同舟云学术

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Driving forces and typologies behind household energy consumption disparities in China: A machine learning-based approach

Published:2024-08 Issue: Volume:467 Page:142870
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Wu Yi,Zhang Yixuan^ORCID,Li Yifan,Xu Chenrui,Yang Shixing,Liang Xi

Publisher

Elsevier BV

Reference89 articles.

1. Quantifying the impact of the COVID-19 lockdown on household water consumption patterns in England;Abu-Bakar;npj Clean Water,2021

2. Occupancy and occupant activity drivers of energy consumption in residential buildings;Akbari;Energy Build.,2021

3. K-means based load estimation of domestic smart meter measurements;Al-Wakeel;Appl. Energy,2017

4. Hybrid CNN-lstm model for short-term individual household load forecasting;Alhussein;IEEE Access,2020

5. Clustering algorithms;Bandyopadhyay,2013

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