Energy research
PowereX Research Center
Information about nowadays scientific activities of our research & development centre
Meet our scientific board members
Dr. Jakub Ševcech
Jakub Ševcech has experience in data science, machine learning, and software development, Jakub has held several key roles at Swiss Re, including Head of Scalable Analytics Solutions and Senior Data Scientist. He has also contributed to research at the Kempelen Institute of Intelligent Technologies and the Slovak University of Technology (FIIT STU), where his focus was on data analysis and stream data processing.
Dr Jonathan Mwaura
Jonathan is a specialist in artificial intelligence (AI). Focuses on nature - inspired techniques (evolutionary calculations, optimization and neural networks) for problem solving in mathematics, robotics and energy. Jonathan also has experience in multimodal optimization as well as behavioral evolution in robotics. His current research interests include deeper application of AI in the energy industry .
Dr. Hrvoje Pandžić
Associate Professor at the University of Zagreb, is a specialist in renewable energy integration, energy storage, and power system optimization. He completed his PhD at the University of Zagreb, with research focused on bilevel optimization for maintenance scheduling, and conducted further research at the University of Castilla-La Mancha.
Optimized Power Flows in Microgrid with and without Distributed Energy Storage Systems
This study presents a combined algebraic and power flow model of a microgrid. The aim of this study is to introduce a strong tool which is capable to compare physical parameters of a microgrid which are hardly possible to calculate only by common algebraic optimization methods.
Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting
This paper presents a new interpretable approach for multiple data streams clustering in a smart grid used for the improvement of forecasting accuracy of aggregated electricity consumption and grid analysis named ClipStream.
