适应性K-means集群中的距离测量对泰国分布式变电站的负载配置和空间模式的影响

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Updated: Sep 17, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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Temsiri Prompook1, Sorawut Jittanon1, Kandanai Phumeesut1

  • 1School of Renewable Energy and Smart Grid Technology, Naresuan University, Phitsanulok, 65000, Thailand.

Scientific reports
|July 2, 2025
PubMed
概括

这项研究使用了自适应式K-means集群来对泰国627个变电站的电力消耗模式进行细分. 调查结果显示,不同地区的能源使用量不同,有助于电网管理和政策制定.

关键词:
集群验证指数的有效性指数这就是Cosine和Cosine.电力消耗 电力消耗电力基础设施规划 电力基础设施规划电力管理策略 电力管理策略欧几里德的 欧几里德的

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