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Analysing electricity consumption data by fast search and find of density peaks
(2017)
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. ...
Clustering electricity consumption data to identify optimal electricity contracts
(2020)
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 ...
Plankton image clustering using similarity metric learning
(2022)
Technological advancement has evolved the imaging equipment used in plankton imaging. Nowadays it is possible to take images more efficiently. Due to the increased amount of images the processing time is longer. The ...
Machine learning techniques applied to energy behavior profiling
(2022)
The European Union has set a goal to reduce greenhouse gas emissions from the year 1990 by at least 55% by 2030. To achieve the goal, sustainable use of energy resources needs to be utilized. This study consists of conducting ...
Moodle forums : exploration into logged data and applying machine learning to get further insight
(2023)
This work investigates the data logged into Moodle logs in relation to the usage of forums, which while not containing the text itself contains information about who did what and where. The data was from a programming ...