基于月流量数据的土耳其流域聚类

Y. Arslan, Aysenur Birturk, S. Eren
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引用次数: 1

摘要

能源供应安全是能源领域的一个重要课题。它有两个部分,供给和需求。为了确保满足需求,必须知道或预测特定时间点的供应。供应是通过使用季节、年度和区域信息来预测的。流-流量数据集分辨率为月分辨率,并提供年和季节信息。供应预测唯一缺少的部分是区域信息。本研究的目的是寻找基于流域的河流和相应的水力发电厂的区域聚类。本文采用不同的聚类技术对土耳其26个流域中的14个流域进行了聚类,这些流域包含了土耳其调度员信息系统中80%以上的水电站。结果显示在土耳其盆地地图上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Basin Clustering of Turkey by Use of Monthly Stream-Flow Data
Security of the energy supply is an important topic in energy field. It has two parts which are supply and demand. To ensure that demand is met, the supply at the specific time points has to be known or predicted. Supply is predicted by use of seasonal, yearly and regional information. The stream-flow dataset resolution is monthly and it supplies the yearly and seasonal information. The only missing part for supply prediction is the regional information. The aim of this study to find the basin based regional clustering of the streams and correspondingly hydroelectric power plants. In this paper, 14 out of 26 basins of Turkey, which contain over 80% of the hydroelectric power plants of Turkey in Dispatcher Information System, are clustered by use of different clustering techniques. Results are visualized on Turkey basin map.
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