Communities & Collections

Research Outputs

Fundings & Projects

Have you forgotten your password?

Home
Faculty of Electrical Engineering and Information Technologies
Search

Faculty of Electrical Engineering and Information Technologies

Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/10

Browse

Search Subcommunities and Collections By Title

3 results

Filters

3 Proceeding article

search.filters.author.Markovska, Marija

2 Taskovski, Dimitar

1 Gjoreski, Hristijan

1 Tashkovski, Dimitar

1 Velichkovska, Bojana

Search author name

1 Classification

1 Feature extraction

1 Machine Learning

1 Power Quality

Start

End

search.filters.language.English

Settings

Sort By

Results per page

Author: search.filters.author.Markovska, Marija×

Language: search.filters.language.English×

Search Results

Now showing 1 - 3 of 3

Some of the metrics are blocked by your
consent settings
Classifying Power Quality Disturbances in Noisy Conditions using Machine Learning
(The Jozhef Stefan Institute, 2019-10)
Velichkovska, Bojana
;
Markovska, Marija
;
Gjoreski, Hristijan
;
When ensuring high-quality power supply of the power grid it is of the upmost importance to correctly detect and classify any power quality (PQ) disturbance. Selecting the most relevant features is very important in the process of training a genera machine learning model. Therefore, we analyze the power signals and extract information from them, and then select the most significant features. Additionally, an effective classification model is required. In this study we apply grid search throughout the features sets on one side, and the classification algorithms on the side. This way, we determine the most effective combination of an algorithm and feature set for classification of power quality disturbances.
Some of the metrics are blocked by your
consent settings
The effectiveness of wavelet based features on power quality disturbances classification in noisy environment
(IEEE, 2018-05)
Markovska, Marija
;
Taskovski, Dimitar
Some of the metrics are blocked by your
consent settings
Optimal wavelet based feature extraction and classification of power quality disturbances using random forest
(IEEE, 2017-07)
Markovska, Marija
;
Taskovski, Dimitar

⠀

Built with DSpace-CRIS software - Extension maintained and optimized by

Accessibility settings
Privacy policy
End User Agreement
Send Feedback