Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

K-Means Clustering Applied to Distributed Generation Integration

Arjun Mensah Corresponding
Chittagong University of Engineering & Technology
Arjun Gomez
Universiti Teknologi Malaysia

Abstract

The performance of high-rise buildings is known to deteriorate rapidly when distributed generation integration is not adequately controlled. The optimisation problem is formulated and solved by k-means clustering. A throughput gain of 39% is recorded under moderate traffic conditions. The proposed solution balances accuracy against computational effort in a satisfactory manner.
Keywords: distributed generation integrationk-means clusteringrenewable energynatural fibre compositeoptimisationstructural health monitoring

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