Marko Jelić

Marko Jelić
Mihajlo Pupin Institute | IMP

MSc Electrical Engineer and Computer Scientist
HVAC system modelling and optimization, energy dispatching optimization, distribution grid evaluation

About

14
Publications
2,490
Reads
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22
Citations
Additional affiliations
July 2018 - present
Mihajlo Pupin Institute
Position
  • Researcher
Education
October 2019 - October 2022
University of Belgrade
Field of study
  • Electrical Engineering and Computer Sciences
October 2018 - September 2019
University of Belgrade
Field of study
  • Electrical Engineering and Computer Sciences
September 2014 - September 2018
University of Belgrade
Field of study
  • Electrical Engineering and Computer Sciences

Publications

Publications (14)
Preprint
Full-text available
The proliferation of distributed renewable energy sources and energy storage systems has presented a number of challenges for contemporary power systems. Depending on the control strategies that the users employ, the grid may experience varying levels of equipment loading. This paper aims to explore the effects on the grid from coordinated operatio...
Article
Full-text available
Apart from numerous technical challenges, the transition towards a carbon-neutral energy supply is greatly hindered by limited economic feasibility of renewable energy sources. This results in their slow and bounded penetration in both commercial and residential sectors that are responsible for over 40% of final energy consumption. This paper aims...
Article
This paper presents REACT-DECARB, an energy planning decarbonisation platform employing renewable energy sources coupled with storage for islands. The paper implements the energy scenario creation and economic evaluation steps of the platform on eight geographic islands in seven countries within the EU. Twenty-one technologically feasible energy sc...
Article
Full-text available
Recent studies show that energy consumption of buildings has dramatically increased over the last decade, accounting for more than 35% of global energy use. However, with proper operation, significant energy savings can be achieved. Demand response is envisioned as a key enabler of this operation enhancement, as it may contribute to the reduction o...
Preprint
Full-text available
Buildings' energy consumption has dramatically increased over the last decade, accounting for more than 35% of global energy use. In this article, RESPOND's approach to improve building operation is shown for reducing energy demand peaks. Namely, RESPOND develops an AI system to dispatch optimal DR events maximizing the renewable energy generation...
Chapter
Full-text available
Information systems are most often the main focus when considering applications of Big Data technology. However, the energy domain is more than suitable also given the worldwide coverage of electrification. Additionally, the energy sector has been recognized to be in dire need of modernization, which would include tackling (i.e. processing, storing...
Chapter
Full-text available
The goal of this chapter is to shed light on different types of big data applications needed in various industries including healthcare, transportation, energy, banking and insurance, digital media and e-commerce, environment, safety and security, telecommunications, and manufacturing. In response to the problems of analyzing large-scale data, diff...
Article
Full-text available
Solving the issue of energy security for geographical islands presents a one-of-a-kind problem that has to be tackled from multiple sides and requires an interdisciplinary approach that transcends just technical and social aspects. With many islands suffering in terms of limited and costly energy supply due to their remote location, providing a sel...
Conference Paper
Full-text available
Achieving energy efficiency is crucial in order to improve environment and life quality. Therefore, within the residential sector, research efforts on advanced approaches to steer end users to save the energy and adapt their consumption are widely spread. One of recent approaches being used is creating a competitive environment which would stimulat...
Conference Paper
Full-text available
With the IoT industry rapidly growing and evolving, smart home concepts powered by distributed IoT sensors are becoming more and more popular amongst residential users. This transformation has created an opportunity for novel energy management solutions with the main goal of improving energy efficiency. A key element in this process is being able t...
Conference Paper
Full-text available
With the aim of improving ecological interest, the share of renewable energy sources (RES) in the energy production is to be increased. Nonetheless, that growth adversely influences the grid's instability, as a result of the dependency between the RES production and weather conditions. Therefore, with the aim of providing a stable energy system, it...
Conference Paper
Full-text available
Irrational energy consumption and waste of energy are two of the main problems that we face today. A lot of the energy is wasted by people in their homes or offices because they are not paying much attention to their energy consumption. In order to increase energy efficiency of the general population and to raise general awareness, a system based o...
Conference Paper
Full-text available
As the level of implementation and integration of digital systems in every part of daily life constantly increases, high-er and higher volumes of data are being generated at unprecedented rates without the indication of slowing down at any point in the near future. The contemporary IT infra-structure is starting to struggle with the storage, proces...

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Projects

Projects (3)
Project
The LAMBDA project (Learning, Applying, Multiplying Big Data Analytics) shall define a scientific strategy for stepping up and stimulating scientific excellence and innovation capacity, increasing research capacities and unlocking the research potential of the biggest and the oldest R&D Institute in the ICT area in the whole West Balkan region, turning the Institute Mihajlo Pupin into a regional point of reference when it comes to multidisciplinary ICT competence related to Big Data analytics.
Project
Demand response (DR) refers to targeted, short-term reductions inenergy consumption during times of peak demand in exchange for financial incentives. DR is most commonly implemented in the industrial sector, where energy use is high and peak energy demand comes at a significant cost to utilities and the grid itself. However, as distributed energy resources and renewables become mainstream, DR programs will play an increasingly important role in balancing energy demand within the residential energy sector as well. Despite having a lower individual energy consumption per site, the potential to exploit demand flexibility for home appliances can contribute to grid load balancing and demand shaping. To exploit this untapped potential, the RESPOND project will deploy an interoperable energy automation, monitoring and control solution that will deliver demand response at a building unit, building and district level. Using smart energy monitoring infrastructure, RESPOND will be able to detect energy conservation opportunities and adapt to indoor and outdoor conditions, and comfort levels in real time through optimal energy dispatching, taking both supply and demand into account.