Power Load Forecast for North Macedonia Using Machine Learning

Popovski, Pande and Kostov, Mitko and Atanasovski, Metodija and Veljanovski, Goran Power Load Forecast for North Macedonia Using Machine Learning. In: 2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), September, 10-12, 2020, Niš, Serbia, Serbia.

This is the latest version of this item.

[thumbnail of ICEST-2020-23.pdf] Text

Download (214kB)


Estimating power load has always been of a great importance for making power purchase agreements on the electricity market or maintaining power system stability and reliability. This paper analyses power load forecasts for North Macedonia when different combinations of independent variables are used – air temperature, humidity and wind. Several types of machine learning models were trained in order to evaluate their performances and impact on the power load forecast.

Item Type: Conference or Workshop Item (Paper)
Additional Information: This research is supported by the EU H2020 project TRINITY (Grant Agreement no. 863874) This paper reflects only the author’s views and neither the Agency nor the Commission are responsible for any use that may be made of the information contained therein.
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Technical Sciences
Depositing User: Prof. d-r. Metodija Atanasovski
Date Deposited: 22 Oct 2020 09:33
Last Modified: 22 Oct 2020 09:33
URI: https://eprints.uklo.edu.mk/id/eprint/5825

Available Versions of this Item

Actions (login required)

View Item View Item