LARES research team published an article " Simple and Accurate Model of Thermal Storage with Phase Change Material Tailored for Model Predictive Control " - Vrbanc, Filip; Vašak, Mario; Lešić, Vinko, in Energies, an open access scientific journal. The paper presents a novel modelling approach for thermal heat storage with phase-change material based on mixed integer linear program.
You can download the article freely on the journal web.
IFAC 2023 – The 22nd World Congress of the International Federation of Automatic Control took place in Yokohama, Japan from 9th - 14th July 2023.
Assoc. Prof. Vinko Lešić, PhD presented SmartCityLight project results in the paper: “ Model Predictive Control of Street Lighting based on Spatial Points of Interest ” by Husam I. Shaheen, Marina Gapit, Sruthy Gireesan and Vinko Lešić.
Ana Martinović, MSc and Marina Gapit, MSc , both researchers on the SCL project, participated on "Distributed Control, Optimization and Learning for Network Systems" workshop where various optimization algorithms, and optimization methods used for performance improvement of control systems have been researched and analysed.
Ana Martinović, MSc and Marina Gapit, MSc , researchers on the SCL project participated in " Learning-Based Predictive Control " course held in ETH Zürich, Switzerland from 26th - 30th June, 2023. The course is a part of the " International Graduate School on Control " organized by European Embedded Control Institute (EECI).
The course was held by Prof. Melanie N. Zeilinger from the ETH Zürich and Prof. Lorenzo Fagiano from the Politecnico di Milano, Italy. After a brief review of fundamentals of MPC, the course presented an overview of existing learning-based MPC methods, followed by a deep-dive into theory and applications of selected techniques for different problem settings.
SCL team participated in the 21st European Control Conference (ECC2023) held in Bucharest, Romania. Assoc. Prof. Vinko Lešić, PhD presented the paper: “ Distributed Street lighting Model Predictive Control based on Spatial Points of Interest ” by Husam Shaheen, Vinko Lešić, Marina Gapit and Sruthy Gireesan.
The paper is available at IEEEXplore .
In addition, 2 young researchers on the project, Ana Martinović, MSc and Marina Gapit, MSc participated in " Concurrent Learning and Optimization for Nonconvex Constrained Problems – A Set Membership approach " workshop held by prof. Lorenzo Fagiano from the Politecnico di Milano, Italy.
DECIDE team member Mojtaba Hajihosseini , presented our project results in the paper:
M. Hajihosseini, M. Car, Z. Aleem and V. Lešić, " Charging Control of A Vanadium Redox Flow Battery Integrated With Solar PV Plant " at the IEEE 32nd International Symposium on Industrial Electronics ( ISIE 2023 ) held in Helsinki, Finland.
Paper is available at IEEEXplore .
Nikica Perić, MSc and Assoc. Prof. Vinko Lešić, PhD presented on The International Conference on Electrical, Computer, Communications and Mechatronics Engineering 2023 held in Santa Cruz de Tenerife, Spain.
Two presented papers are:
"Vehicle Routing Problem Considering Electric Vehicle Battery Consumption" by Nikica Perić, Slaven Begović, Mohan Muniappan, and Vinko Lešić
"Distributed Parametric Model Predictive Control of Street Lighting" by Husam I. Shaheen, Marina Gapit, Ana Martinović, and Vinko Lešić
Our LARES research team published two articles in IEEE Transactions on Intelligent Transportation Systems, a prestigious IEEE scientific journal.
The first article "Data-Driven Modeling of Urban Traffic Travel Times for Short-and Long-Term Forecasting" - H. Novak, F. Bronić, A. Kolak, Vinko Lešić, compares data-driven statistical and machine learning approaches for urban traffic travel times forecasting which is of critical importance for efficient supply chain logistics and accurate navigation services. A detailed analysis of the available historical data is performed, including historical floating car data for a one-year period. The ariticle can be found here .
The second article "Aggregated Representation of Electric Vehicles Population on Charging Points for Demand Response Scheduling" - M. Kovačević and M. Vašak, proposes a method to represent a population of electric vehicles that on the one hand enables prediction via machine learning and on the other it enables an accurate optimization of the charging schedule and demand response ability. The article is available for download through open access on this link .
On June 29 and June 30, 2023, we held an ADRION TRAINEE Open days in the Great Hall of University of Zagreb - Study programme of Energy Efficiency and Renewable Energy Sources in Šibenik . In it we presented to the students with multidisciplinary competencies that they will be able to develop by attending this joint graduate study. We also invited them to help us design the best possible study program with their ideas and suggestion. We also asked them to fill out the questionnaire that will help us better understand their needs and tailor the master concept accordingly.
We thank the S tudy programme of Energy Efficiency and Renewable Energy Sources for encouraging all those interested in participation of the Open days.
You can find the presentation from the event here and here and here .