Customer Load Profile Clustering Using K-means Algorithm: A Case Study in an Electric Distribution Company in the Philippines Amidst the COVID-19 Pandemic-Reference-Cited by-同舟云学术

Customer Load Profile Clustering Using K-means Algorithm: A Case Study in an Electric Distribution Company in the Philippines Amidst the COVID-19 Pandemic

Published:2022-12-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
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Author:

Navarro M. M.¹,Young M. N.¹,Prasetyo Y. T.¹,Nadlifatin R.²

Affiliation:

1. Mapúa University,School of Industrial Engineering and Engineering Management,Manila,Philippines

2. Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo,Department of Information Systems,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989527/9989519/09989809.pdf?arnumber=9989809

Reference30 articles.

1. An effective and efficient grid-based data clustering algorithm using intuitive neighbor relationship for data mining

2. A New Hierarchical Clustering Algorithm with Intersection Points

3. A Low Power Grid-Based Cluster Routing Algorithm of Wireless Sensor Networks

4. Grid Based Clustering Technique in Wireless Sensor Network using Hierarchical Routing Protocol

5. Analisa Penentuan Jumlah Cluster Terbaik Pada Metode K-Means;putu;Semin Nasionalmulti Disiplin Ilmu&Call Pap Unisbank,0

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