Nikola Tomasevic

Nikola Tomasevic
Mihajlo Pupin Institute | IMP

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39
Publications
6,195
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346
Citations

Publications

Publications (39)
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...
Preprint
Full-text available
With the main goal of saving the environment and reducing the amount of burnt fossil fuels, the penetration of renewable energy sources as a share of the electrical energy production is constantly increasing. Nevertheless, this growth significantly jeopardizes electrical grid stability, since renewable sources highly depend on the meteorological co...
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
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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...
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
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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 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...
Article
Recent increase in the availability of learning data has given educational data mining an importance and momentum, in order to better understand and optimize the learning process and environments in which it occurs. The aim of this paper is to provide a comprehensive analysis and comparison of state of the art supervised machine learning techniques...
Article
Full-text available
Workshop organized by INDIGO project as a collaborative activity among EU funded projects in the area of District Energy Systems. The objective of the workshop was twofold: (1) to create a cluster of European funded projects working in the area of Energy Systems; and (2) to create a networking opportunity in which to share experiences on the result...
Preprint
Full-text available
A content recommender system or a recommendation system represents a subclass of information filtering systems which seeks to predict the user preferences, i.e. the content that would be most likely positively "rated" by the user. Nowadays, the recommender systems of OpenCourseWare (OCW) platforms typically generate a list of recommendations in one...
Article
Critical infrastructures (CI) are difficult to handle due to their complexity, size and the number of stakeholders involved. During emergency situations (e.g. fire or terrorist attack), a CI operator in the control room is faced with a flood of information coming from different sensors and legacy monitoring systems. Since in these situations, time...
Conference Paper
Full-text available
It is well known that peak demand nowadays has a negative impact on energy grid capital, operational cost and environmental aspects. Specially due to the carbon-intense generation plants that are deployed to address these peak demands. Demand side management activities such as peak demand curtailment or load reallocation, have a huge potential to m...
Article
In recent years, simulation of the human electroencephalogram (EEG) data found its important role in medical domain and neuropsychology. In this paper, a novel approach to simulation of two cross-correlated EEG signals is proposed. The proposed method is based on the principles of artificial neural networks (ANN). Contrary to the existing EEG data...
Article
The deployment of innovative energy management (EM) approaches based on systematic modelling and optimisation techniques has received an increasing amount of attention in the last decade. This has been often prompted by more stringent energy policy objectives aiming at reducing carbon emissions, phasing out nuclear plants and promoting overall ener...
Article
Full-text available
The Internet of Things (IoT) envisages expanding the current Internet with a huge number of intelligent communicating devices. Wireless sensor networks (WSNs) integrating IoT will rely on a set of the open standards striving to offer scalability and reliability in a variety of operating scenarios and conditions. Standardized protocols will tackle s...
Conference Paper
Energy hub modelling and analysis has garnered a significant degree of attention in the last few years, with different approaches and formalisms being proposed to provide a unified framework for dealing with such systems. The present work is derived from one such approach and presents a numerical analysis of a real world case-study based on the Bil...
Article
This paper presents a novel method for simulation of two correlated short-term fading envelopes in mobile radio channel. Proposed method is enabled by artificial neural network principles. The main idea was to base the simulation approach solely on the measurement results. In order to obtain an adequate measured data set, extensive electric field s...
Conference Paper
Full-text available
This paper discusses the training aspect of the EMILI Simulation and Training environment (EMILI-SITE), a prototype system aimed at emergency management in critical infrastructures like airports, railway/metro systems, and power grids. As emergency procedures and standards are usually defined in advance, they are an interesting application case for...
Article
In this paper a new approach to the electroencephalogram (EEG) signal simulation based on the artificial neural networks (ANN) is proposed. The aim was to simulate the spontaneous human EEG background activity based solely on the experimentally acquired EEG data. Therefore, an EEG measurement campaign was conducted on a healthy awake adult in order...
Conference Paper
Full-text available
This paper presents the first prototype of the EMILI-SITE system that will provide an advanced simulation and training capabilities for emergency management in critical infrastructures like airports, railway/metro systems, and power grids. In addition, the EMILI-SITE system will support decision-making activities in safety-critical situations in ti...
Conference Paper
This paper describes a novel approach to situation awareness and management in critical infrastructures using an emerging Complex Event Processing paradigm in combination with ECA (Event Condition Action) rules. Every modern infrastructural facility, especially critical ones, would want to catch or predict exceptions and threats at the earliest pos...
Article
A novel method for short-term fading simulation is presented in this paper. Proposed solution is based on artificial neural network principles. In order to obtain an adequate training data set, extensive measurements of the received electric field strength were carried out in an indoor environment, in a nonline-of-sight scenario. As quality assessm...
Conference Paper
This article introduces a decision support system for determining a safe and short (in both time and distance sense) evacuation path and for increasing situation awareness in the case of a hazard in buildings of large critical infrastructures (CIs). CIs are infrastructures that are complex, difficult to monitor and with an integrated SCADA system,...
Article
There are many general purpose Knowledge Representation, Natural Language Processing and Information Extraction techniques that were successfully applied in many applications. However, their more broad use is still limited by the relatively high costs of their application. It seems that these limitations are partly caused by some essential characte...
Conference Paper
Full-text available
Self-adaptive prototype for seat adaptation aims at enhancing the physical comfort of a driver by taking into account not only the state of the environment (state of the road, car settings), but also the driver's emotional, cognitive and physical state. To implement this prototype we used a REFLECTive middleware, which provides a programming framew...
Conference Paper
In this paper, a novel technique for simulation of the short-term fading is presented and analyzed. A proposed solution is based on a trained artificial neural network (in further text ANN) and an oscillator for regulating the simulation process. In order to obtain adequate input data for training, cross-validation and testing, extensive measuremen...
Article
Full-text available
Various methods like Linear Discriminant Analysis, k-Nearest Neighbors, Support Vector Machines or Decision Trees are used to successfully solve many classification problems. However, there is no single classifier that works the best in all classification problems. In pervasive adaptive systems the classification of human cognitive, emotional and p...
Conference Paper
Full-text available
The paper describes an approach for design and development of an adaptive control framework for media-rich applications. As novel techniques require complex computation and wide spectrum of devices, a modular simulator is being developed that can be used for inexpensive and effective analyses of different design strategies. The kernel of the simula...

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Projects

Projects (5)
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.
Archived project
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.