Cluster Analysis of Electrical Behavior

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ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

"Cluster Analysis of Electrical Behavior"
written by Lin Liu,
published by Journal of Computer and Communications, Vol.3 No.5, 2015

has been cited by the following article(s):

[1]	Analysis of electricity consumption behaviors based on principal component analysis and density peak clustering
	Concurrency and Computation …, 2022

[2]	Research and application progress of data mining technology in electric power system
	2021

[3]	A meta-analytic approach for determining the success factors for energy conservation
	2021

[4]	Time Series Clustering Analysis of Energy Consumption Data
	2020

[5]	The Generation of Electricity Load Profiles Using K–Means Clustering Algorithm
	2018

[6]	Identifying Peat Soil Layers in the South Kalimantan, Indonesia Using K-Means Clustering
	2018

[7]	AUTOMATION OF POWER TRANSFORMER MAINTENANCE THROUGH SUMMARIZATION OF SUBSPACE CLUSTERS
	2018

[8]	Smart Meter Data Analytics based on Modified Streaming k-Means
	2017

[1]	Analysis of electricity consumption behaviors based on principal component analysis and density peak clustering Concurrency and Computation: Practice and Experience, 2022 DOI:10.1002/cpe.7126

[2]	A meta-analytic approach for determining the success factors for energy conservation Energy, 2021 DOI:10.1016/j.energy.2021.120821

[3]	A meta-analytic approach for determining the success factors for energy conservation Energy, 2021 DOI:10.1016/j.energy.2021.120821

[4]	Time Series Clustering Analysis of Energy Consumption Data 2020 9th International Conference on Renewable Energy Research and Application (ICRERA), 2020 DOI:10.1109/ICRERA49962.2020.9242763

[5]	Design of Web-Based E-Learning Application IOP Conference Series: Materials Science and Engineering, 2018 DOI:10.1088/1757-899X/407/1/012138

[6]	Smart Meter Data Analytics Based on Modified Streaming k-Means 2017 3rd International Conference on Big Data Computing and Communications (BIGCOM), 2017 DOI:10.1109/BIGCOM.2017.49

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