Research Group

Data Analytics for Green Energy

On this page

Bio
Projects
Publications
Student Supervising

Gabriela Grmanová

Research areas: machine learning, data mining, artificial intelligence, mathematical optimizaiton

Position: Researcher

Email
Google Scholar
Research Gate
ORCiD
ResearcherID
Scopus
LinkedIn

Gabriela is a researcher focusing on artificial intelligence, machine learning, data mining and probabilistic modeling. She has applied her research to energy production and consumption forecasting, microgrid optimization, anomaly detection and data analysis of energy markets.

In 2006, she completed a six-month internship at Vienna’s University of Natural Resources and Life Sciences. She was a member of the Big Data Analysis group at the Slovak University of Technology in Bratislava and has been involved in several national and international research and industry projects including projects in co-operation with sféra and Atos.

Selected Projects

V4Grid: The Visegrad group for Vehicle to X

In Central Europe, the V4Grid project is pioneering a new era in sustainable energy solutions by harnessing the power of electric vehicles (EVs) through Vehicle-to-Everything (V2X) services powered by AI…

ZSE: AI for Smart Energy Households

ZSE and KInIT have started a research collaboration focused on disaggregation of customer consumption by identification of individual appliances’ profiles. Statistical and artificial intelligence methods will be used for processing…

Selected Publications

Expert Enhanced Dynamic Time Warping Based Anomaly Detection

Kloska, M., Grmanova, G., Rozinajova, V. – Expert Systems with Applications, 19 April 2023

Kloska, M., Grmanova G., Rozinajova, V. Dynamic time warping (DTW) is a well-known algorithm for time series elastic dissimilarity measure. Its ability to deal with non-linear time distortions makes it…

Intelligent Analysis of Data Streams

Rozinajova, V., Bou Ezzeddine, A., Grmanova, G., Vrablecova, P., Pomffyova, M. – Towards Digital Intelligence Society: A Knowledge-based Approach, 2020

Rozinajova, V., Bou Ezzeddine, A., Grmanova, G., Vrablecova, P., Pomffyova, M.1 1 Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Bratislava, Slovakia The huge amount of…

Prediction of Photovoltaic Power Using Nature-Inspired Computing

Sumega, M., Bou Ezzeddine, A., Grmanova, G., Rozinajova, V. – Advances in Swarm Intelligence. ISCI 2020.

Automatic Query Refining Based on Eye-Tracking Feedback

Martonova, A., Marcin, J., Navrat, P., Tvarozek, J., Grmanova, G. – Computing and Information

Using Biologically Inspired Computing to Effectively Improve Prediction Models

Bou Ezzeddine, A., Loderer, M., Laurinec, P., Vrablecova, P., Rozinajova, V., Lucka, M., Lacko, P., Grmanova, G. – International Journal of Hybrid Intelligent Systems, 2016

Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning

Grmanova, G., Rozinajova, V., Bou Ezzeddine, A., Lucka, M., Lacko, P., Loderer, M., Vrablecova, P., Laurinec, P. – Advances in Nature and Biologically Inspired Computing (AISC), 2016

Incremental Ensemble Learning for Electricity Load Forecasting

Grmanova, G., Laurinec, P., Rozinajova V., Bou Ezzeddine, A., Lucka, M., Lacko, P., Vrablecova, P., Navrat, P. – Acta Polytechnica Hungarica, 2016

Making Sense of Sparse Rating Data in Collaborative Filtering via Topographic Organization of User Preference Patterns

Polcicova (Grmanova), G., Tino, P. – Neural Networks. 2004

All publications: see google scholar profile

Selected Student Supervising

Master

Ogurčák Vladimír – Prediction of electricity consumption. Defended 2016

Marcoňák Matej – Activity recognition using mobile sensors. Defended 2015

Rabčan Juraj – Creating visual codebooks. Defended 2015 (publication)

Kompas Šimon – Methods of DNA assembly. Defended 2015

Kyžňanský Michal – Use of biologically inspired approaches in clustering. Defended 2014

Bachelor

Hroncová Nikoleta – Clustering of cytometry data. Defended 2020

Nemec Radoslav – Image segmentation using clustering. Defended 2014

Šimek Juraj – Generating DNA sequences. Defended 2014 (IT Spy)