Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An agglomerative hierarchical clustering tool for renewable energy sources
The wind power based energy generation technologies are intensively studied in renewable energy generation issues since last century. The main demands directed to a renewable energy source are being reliable, sustainable and low-cost. Several studies are performed to increase the efficiency of an installed wind power plants. The preliminary analyses such as geographical structures, climate conditions, and land topography should be also considered during feasibility analyses of a wind plant. Although the obtained data could be processed by using numerical or various estimation methods, the data mining techniques provide more accurate results among others. In this study, the agglomerative hierarchical clustering tool is designed and is capable to process any data set supplied by expert to system. The case study is performed using monthly average wind speed data of Central Anatolia Region of Turkey in the paper. It is observed that the developed tool clusters the given sample data set in an efficient and successful way.
An agglomerative hierarchical clustering tool for renewable energy sources
The wind power based energy generation technologies are intensively studied in renewable energy generation issues since last century. The main demands directed to a renewable energy source are being reliable, sustainable and low-cost. Several studies are performed to increase the efficiency of an installed wind power plants. The preliminary analyses such as geographical structures, climate conditions, and land topography should be also considered during feasibility analyses of a wind plant. Although the obtained data could be processed by using numerical or various estimation methods, the data mining techniques provide more accurate results among others. In this study, the agglomerative hierarchical clustering tool is designed and is capable to process any data set supplied by expert to system. The case study is performed using monthly average wind speed data of Central Anatolia Region of Turkey in the paper. It is observed that the developed tool clusters the given sample data set in an efficient and successful way.
An agglomerative hierarchical clustering tool for renewable energy sources
Colak, Ilhami (Autor:in) / Kabalci, Ersan (Autor:in) / Bulbul, Halil Ibrahim (Autor:in) / Yeşilbudak, Mehmet (Autor:in) / Nevşehir Hacı Bektaş Veli Üniversitesi/mühendislik-mimarlık fakültesi/elektrik-elektronik mühendisliği bölümü/kontrol ve kumanda sistemleri anabilim dalı
01.01.2011
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC:
690
| DOAJ | 2022
Characterization of Vertical Wind Speed Profiles Based on Ward's Agglomerative Clustering Algorithm
| DOAJ | 2023