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Analysing electricity consumption data by fast search and find of density peaks
The aim of this thesis is to compare a clustering method called Clustering by fast search and find of density peaks (CFSFDP) (Rodriguez et al. 2014) to two traditional clustering methods in analysis electricity consumption. ...
Time series clustering by extracted features
Clustering electricity consumers can give insight into how a particular consumption profile is related to other attributes of the customer, for example the residence size or whether a sauna is in use or not. Furthermore, ...
Clustering electricity consumption data to identify optimal electricity contracts
This thesis is aimed to study development of electricity consumption trends, cluster historical consumption time series and aim to determine optimal price contract for both individual clusters and customers. First main ...
Image clustering for unsupervised analysis of plankton data
Advancements in automated imaging has made it possible to enhance the data both in terms of quantity and quality. This has prompted the development of plankton imaging systems for acquiring the species level information ...