An Interactive Clustering Method Via Metric Learning for Analyzing Energy Consumption Patterns

Author:

Wang Yunzhe,Cao Tianyuan,Wang Huixue,Fu Qiming,Chen Jianping,Lu You

Publisher

Elsevier BV

Reference29 articles.

1. A multi-objective home energy management system based on internet of things and optimization algorithms[J];X Wang;Journal of Building Engineering,2021

2. A novel clustering index to find optimal clusters size with application to segmentation of energy consumers[J];Al Khafaf;IEEE transactions on industrial informatics,2020

3. A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings;C Miller;Renewable and Sustainable Energy Reviews,2018

4. Spatial disparity and hierarchical cluster analysis of final energy consumption in China;S Wang;Energy,2020

5. Electricity consumption pattern analysis beyond traditional clustering methods: A novel self-adapting semi-supervised clustering method and application case study;X Zhang;J]. Applied Energy,2022

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