Comparison of K-Means and Hierarchical Clustering Used in Power Consumption Analysis-Reference-Cited by-同舟云学术

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Comparison of K-Means and Hierarchical Clustering Used in Power Consumption Analysis

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Tang Zeyang¹,Cui Yibo¹,Xing Jie²,Huang Jie²,Jin Jing²,Tang Yumeng³,Wu FengYan⁴

Affiliation:

1. State Grid Hubei Electric Power Co., Ltd,Eletric Power Research Institute,Wuhan,China

2. State Grid Hubei Electric Power Co., Ltd,Digitalization Department,Wuhan,China

3. Hubei Provincial Center for Disease Control and Prevention,Wuhan,China

4. State Grid Hubei Electric Power Co., Ltd,Materials Company,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115460/10115466/10117180.pdf?arnumber=10117180

Reference12 articles.

1. A multi-area linear programming approach for analysis of economic operation of the Indian power system

2. Practice and thinking for dengue fever epidemic prevention and control of Guangdong Province in 2014;zou;Chinese Journal of Hygienic Insecticides & Equipments,2015

3. A Universal Density Profile from Hierarchical Clustering

4. Algorithm AS 136: A K-Means Clustering Algorithm;wong;Journal of the Royal Statistical Society,1979

5. Interregional Migration and Housing Vacancy: Theory and Empirics;cohen;Working Paper,2020

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