Trend Cluster Analysis of Wave Data for Renewable Energy
In this paper, we proposed a trend cluster analysis technique for identifying and analysing time series wave data. With this application, it can assist management to identify changes that occur in time series data as well as facilitate researchers evaluate this type of data. We use
the technique to cluster and analyse the wave data in order to identify the wave heights and sea condition for generating renewable energy in Tioman Island coastal area. The application was developed using Self Organizing Map (SOM) Clustering technique.
Keywords: Clustering; Renewable Energy; Self Organizing Maps; Time Series; Trend Cluster Analysis
Document Type: Research Article
Affiliations: 1: Institute of Visual Informatics, National University of Malaysia, Bangi, 43650 Selangor, Malaysia 2: Department of Computer Science, National Defense University of Malaysia, 57000 Kuala Lumpur, Malaysia 3: Department of Marine Technology, National Defense University of Malaysia, 57000 Kuala Lumpur, Malaysia
Publication date: 01 February 2018
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