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Time series clustering by extracted features
(2019)
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, ...
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 ...
Unsupervised profiling of electricity consumers for load forecasting applications
(2020)
Electric power suppliers are typically interested in profiling their customers. Different
consumer categories or load profiles can give insight into behavior which affects the power grid and facilitate load forecasting ...