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The Distributed Resource Clustering Method Based On Indicator-weighted K-means
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Journal Article
The Distributed Resource Clustering Method Based On Indicator-weighted K-means
2025
Overview
The large number of distributed resources in the distribution network provides new resources for grid interactive regulation. First, the regulation characteristics of distributed resources are analyzed, and a method for calculating adjustable capacity is established. Then, the k-means++ algorithm with indicator weights is used to cluster the distributed resources. Finally, a simulation is conducted on a photovoltaic cluster with 60 units, and the results are compared with traditional methods.
Publisher
IOP Publishing
Subject
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