ProfessorsProfessors of Univerzitet u Novom SaduAleksandar Selakov

Aleksandar Selakov

Univerzitet u Novom Sadu

H-index: 6

Europe-Serbia

About Aleksandar Selakov

Aleksandar Selakov, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Univerzitet u Novom Sadu, specializes in the field of Distribution Management Systems, Energy Management Systems, Generation Management Systems, Forecasting, Optimization & Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Flexible Approach for Selection of the Training Set for ANN-Based Load Forecast Using Autoencoder and Similar Day Method

Application of Artificial Intelligence to Identify Electric Meter Tariffs

Short-Term Load Forecasting through the Identification of Similar Hour Series

Special Day Regression Model for Short-Term Load Forecasting

Gab-SSDS: an AI-based similar days selection method for load forecast

Procedure for creating custom multiple linear regression based short term load forecasting models by using genetic algorithm optimization

Day similarity metric model for short-term load forecasting supported by PSO and artificial neural network

Aleksandar Selakov Information

University	Univerzitet u Novom Sadu
Position	Assistant Professor Faculty of Technical Sciences
Citations(all)	341
Citations(since 2020)	191
Cited By	237
hIndex(all)	6
hIndex(since 2020)	6
i10Index(all)	6
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Univerzitet u Novom Sadu
Google Scholar	View Google Scholar Profile

Aleksandar Selakov Skills & Research Interests

Distribution Management Systems

Energy Management Systems

Generation Management Systems

Forecasting

Optimization & Control

Top articles of Aleksandar Selakov

Title	Journal	Author(s)	Publication Date
A Flexible Approach for Selection of the Training Set for ANN-Based Load Forecast Using Autoencoder and Similar Day Method		Zoran Pajić Aleksandar Selakov	2023/6/25
Application of Artificial Intelligence to Identify Electric Meter Tariffs		Aleksandar Đurić Aleksandar Selakov	2023/6/25
Short-Term Load Forecasting through the Identification of Similar Hour Series		Sladana Turudić Aleksandar Selakov Zoran Janković	2023/10/25
Special Day Regression Model for Short-Term Load Forecasting		Zoran Janković Slobodan Ilić Boban Vesin Aleksandar Selakov	2022/10/10
Gab-SSDS: an AI-based similar days selection method for load forecast	Frontiers in Energy Research	Zoran Janković Boban Vesin Aleksandar Selakov Lasse Berntzen	2022/4/27
Procedure for creating custom multiple linear regression based short term load forecasting models by using genetic algorithm optimization	Thermal Science	Slobodan A Ilić Aleksandar Ž Selakov Srđan M Vukmirović	2021
Day similarity metric model for short-term load forecasting supported by PSO and artificial neural network	Electrical Engineering	Zoran Janković Aleksandar Selakov Duško Bekut Marija Đorđević	2021/12/1