Basin-based clustering of hydroelectric power plants in Turkey by use of stream-flow and hydroelectric energy production data

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2015

Öğrenci: YUSUF ARSLAN

Danışman: AYŞE NUR BİRTÜRK

Özet:

A grouping approach may ease the process of supply prediction. It is shown that trend of the streams in the same basins have similar trend and it is also important to analyse that whether there are similarity between the trend of the neighbour basins or not. It is seen in the experiments that structure based hierarchical clustering makes the clus- tering based on the trend of the time series and this method reveals the connections between the basins which have similar trends in the flow of their streams. The aim of this thesis is to find the basin based clustering of the hydroelectric power plants and stream-flow and hydroelectric energy production datasets are used and the results of both are compared with each other. In conclusion, it is shown that basin based clustering is done successfully by use of structure based hierarchical clustering on the stream-flow dataset and the result is visualized on the Turkey map.