Dedinec Kanevche, Aleksandra

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Dedinec Kanevche, Aleksandra

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Dedinec, Aleksandra

Kanevche, Aleksandra

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aleksandra.kanevche@finki.ukim.mk

Now showing 1 - 10 of 14

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Towards smart 6G: Mobility prediction for dynamic edge services migration
(Elsevier BV (Netherlands), 2026-02-01)
Cristina Bernad
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Katja Gilly
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Optimal usage of biomass for energy purposes toward sustainable development-a case of Macedonia
(2016)
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Dedinec, Aleksandar
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Kanevce, Gligor
One of the main goals for sustainable development of a country is providing sustainable energy resources, which means satisfying the current needs for energy without compromising the future generations. Moreover, sustainable energy resources primarily involve greater inclusion of renewable energy sources. The biomass is the most widely used renewable energy source, mainly because of its relatively low price and its availability. However, in order for the biomass to stay a renewable energy source, it must be used rationally and with a plan, which primarily requires a detailed analysis of the current situation and resources. Therefore, the aim of this paper is to calculate the optimal utilization of biomass in energy purposes, taking into account the sustainable development of a country. As an example, in this paper Macedonia is considered. A detailed analysis of the data sources related to biomass is made and several different indicators that describe the current situation in Macedonia are presented. Furthermore, several scenarios are defined in this paper in order to calculate the optimal share of biomass in the overall energy mix in Macedonia for the next 20 years, using the MARKAL model.
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Optimization of heat saving in buildings using unsteady heat transfer model
(2015)
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Markovska, Natasa
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Dedinec, Aleksandar
Reducing the energy consumption growth rate is increasingly becoming one of the main challenges for ensuring sustainable development, particularly in the buildings as the largest end-use sector in many countries. Along this line, the aim of this paper is to analyse the possibilities for energy savings in the construction of new buildings and reconstruction of the existing ones developing a tool that, in terms of the available heating technologies and insulation, provides answer to the problem of optimal cost effective energy consumption. The tool is composed of an unsteady heat transfer model which is incorporated into a cost-effective energy saving optimization. The unsteady heat transfer model uses annual hourly meteorological data, chosen as typical for the last ten-year period, as well as thermo physical features of the layers of the building walls. The model is tested for the typical conditions in the city of Skopje, Macedonia. The results show that the most cost effective heating technology for the given conditions is the wood fired stove, followed by the inverter air-conditioner. The centralized district heating and the pellet fired stoves are the next options. The least cost effective option is the panel that uses electricity. In this paper, the optimal insulation thickness is presented for each type of heating technology.
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Deep Belief Networks for Electricity Price Forecasting
(2018)
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Dedinec, Aleksandar
In this paper, one of the aspects of the smart grids is analyzed. This aspect includes the utilization of the large amount of available digital information for creating smart models for planning and forecasting. The latest and new achievements in the field of machine learning are used for that purpose. Specifically, models based on deep belief networks are developed within this paper and it is examined whether these models may be applied for electricity price forecasting. For that purpose, the hourly data of the prices of the power exchanges in the region of Southeast Europe are used. The obtained results present the advantages of the developed models based on deep belief networks, compared to the traditional neural networks, when applied to electricity price forecasting. To this end, the mean average percent error of the deep belief network model is less than the minimum error of the traditional neural network model in each of the analyzed datasets.
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Electricity price forecasting of the South East European power exchanges
(2017)
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Dedinec, Aleksandar
The deregulation of the electricity market is a process which is currently very hot topic in the Southeast European region. Namely, few of the countries have their own power exchanges from long time ago, but few of them have just formed ones and the remaining countries need to decide in the near future the direction they are going to follow towards resolving this problem. With the introduction of the power exchanges and the fact that half of the power markets in the Southeast European region exist less than one year, forecasting the electricity price on those markets is becoming very attractive research area and is of great importance. In this paper, 24-hours ahead forecasting of the electricity price in these newly formed power exchanges is. To this end, an artificial intelligence models, specifically neural networks are used in this paper, which as an input use all information that are relevant for the corresponding power exchange price forecasting. The results show that among the newly formed power exchanges in the region, the price in Bulgarian power exchange is the most unpredictable one, while, on the other hand, the price in the Serbian power exchange is the most predictable one. Additionally, the results present in which hours of the day and in which days in the week the prices have the highest variations.
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ГРЕЕЊЕ НА ГРАДОТ СКОПЈЕ - АНАЛИЗА НА ПОЛИТИКИ И МЕРКИ
(Македонска академија на науките и уметностите, 2019)
Taseska-Gjorgievska, Verica
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Dedinec, Aleksandar
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Obradovich Grncharovska, Teodora
Греењето во домаќинствата доминира во низата причинители за лошиот квалитет на воздухот во Скопје. Лошата термичка изолација на објектите придонесува за поголеми потреби од енергија за греење, од една страна, а од друга страна неефикасните печки и котли кои се користат за загревање на домовите придонесуваат за зголемување на потрошувачката на енергентите и со тоа и на локалното загадување. Во Република Македонија согорувањето на биомаса учествува со 90% во вкупното загадување со PM10. Измерените концентрациите на PM10 честичките ги надминуваат дозволените гранични вредности и тоа повеќекратно во зимскиот период. Покрај тоа, неефикасното користење на енергијата е еден од главните причинители и за зголемување на емисиите на стакленички гасови. Според анкетата за начинот на загревање на домаќинствата во Скопската котлина, спроведена во јануари 2017 година со поддршка на Програмата за развој на Обединетите нации, најголем дел од домаќинствата, околу 47%, користат цврсти горива (огревно дрво, јаглен, пелети, брикети) во сопствен систем за согорување, третина од домаќинствата се греат со помош на електрична енергија, а околу 21% се снабдуваат од системот за централно греење. Исто така, над половина од објектите имаат ѕидови без дополнителна топлинска изолација. Цел на овој труд е да го утврди влијанието на различни мерки поврзани со загревањето на домовите врз емисиите на стакленички гасови (CO2, CH4, N2O) и врз локалното загадување (PM2,5, PM10, CO, SOx, NOx) и квалитетот на воздухот. За таа цел е развиен модел (MARKAL-Скопје). Како влезни податоци во моделирањето се користат резултатите од анкетата за начинот на загревање на домаќинствата во Скопската котлина. Трудот ги проучува ефектите од следните мерки: 1) Подобрување на изолацијата во објектите за домување; 2) Промена на горивото и начинот на греење (ефикасни технологии); 3) Зголемено прифаќање на централното греење (постојното или мали централни системи).. Покрај референтното сценарио „Скопје се гуши“, креирано е сценарио „Скопје дише“ во кое се вклучени сите три мерки и анализиран е ефектот од нивната заедничка имплементацијата. Од добиените резултати може да се заклучи дека мерката „Промена на начинот на греење (ефикасни технологии)“ најмногу придонесува за намалување на PM10 и PM2,5 емисиите, додека CO2 емисиите најмногу се намалуваат со мерката „Зголемено прифаќање на централното греење“. Со спроведување на сценариото „Скопје дише“ ќе се постигне дури 70% намалување на PM10 и PM2,5 емисиите и околу 11% намалување на CO2 емисиите во 2025 година, во однос на сценариото „Скопје се гуши“. Споредено пак со 2015 година, во сценариото „Скопје дише“ емисиите на PM10 и PM2,5 во 2025 ќе се намалат за 60%. За реалзација на сценариото потребни се вкупно 356 мил. €, за периодот од 2017 до 2025 година. Дополнителни 212 мил. € се потребни за изградба на нови термоелектрани-топлани. Покрај намалувањето на загадувањето, дополнитена придобивка од мерката „Изградба на енергетски ефикасни згради“ е можноста за отворање на 690 нови работи места.
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Review of the Production of Electricity from Photovoltaics in the Republic of Macedonia
(2000)
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Tomovski, Igor
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Kocarev, Ljupco
: Global trends in the energy sector are focused towards extensive inclusion of renewable sources in the energy production. Solar energy has proven to be a valuable candidate, especially for direct conversion into electricity. Its wider use has, so far, among other, been constrained by the technological limitations, resulting in higher production costs compared to those from conventional non-renewable sources, primarily coal. In that sense, the efforts of the scientific community have for long been directed towards development of both efficient and inexpensive solutions. However, the major boost in the electricity production from photovoltaics (PV) came from the legislative measures, primarily the introduction of feed-in tariffs. Following the global trends, a significant increase in PV inclusion in the electricity production was made in the Republic of Macedonia. In the article we give a brief review of the achieved progress.
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Energy transition of a developing country following the pillars of the EU green deal
(2022)
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Dedinec, Aleksandar
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Taseska-Gjorgievska, Verica
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Kanevce, Gligor
Utilization of efficient technologies, renovation of buildings and construction of new passive buildings, replacement of coal, natural gas, and nuclear power plants with “clean” technologies such as photovoltaics and wind, transition to 4-D in industry, and electrification are parts of the objectives set out in the Green Deal of the EU. The Green Deal foresees a transformation to a “green” economy while maintaining economic growth, as well as creating new “green” jobs. To meet these goals, each country needs to develop its own strategic documents that will guide the transition, taking into account its own specific conditions, the current state of the energy sector as well as geographical location. This paper aims to present a vision for the energy transition of a developing country, a member of the Energy Community, and a country that expects to join the EU. The vision of the development of the energy system of North Macedonia foresees a transformation from a system based on fossil fuels, where the share of RES in the gross final energy consumption is about 18%, to a 43% share of RES in 2040, while maintaining import dependence at the current level and guaranteeing the security of energy supply. For exploring the way and the pace at which such a vision can be achieved it is necessary to develop different models and simulations, including different technologies on the generation and consumption side. Such alternatives, packaged in different scenarios, allow policymakers to assess the effects of taking certain actions and the direction in which such decisions will lead.
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Optimization model for variable renewable energy sources generation: Macedonian case study
(2015)
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Kocarev, Ljupco
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Tomovski, Igor
This paper is motivated by a large tendency of shift towards low emission electricity production, which can be achieved by substituting the conventional energy sources by renewable energy sources. Therefore, a share of renewable energy sources is continually growing. However, large-scale integration of renewable energy sources into the power system is a challenging task, since it depends on a balance between demand and supply at any time and because of the nature of renewable energy sources. The production from some sources such as the photovoltaic and wind power plants fluctuates depending on meteorological conditions, so it cannot be regulated. However, large hydropower plants can be regulated, so they are suitable for electricity balancing. In this paper, an optimization model is set for a system with 100 % renewable energy sources, which includes models for correlation of meteorological data and the production of electricity from different variable renewable energy sources. The resulting model gives an optimal ratio of production of variable renewable energy sources, which depends on the share of these sources in the total electricity production. The objective function of this optimization problem is to minimize the excess and lack of electricity production. For this purpose, hourly data for electricity consumption and hourly meteorological data are included. The results show that if only wind and photovoltaic power plants are considered, for the case of Macedonia, this optimum is found at 72% wind and 28% photovoltaic power production. However, if the already installed capacity of the big hydropower plants and the maximal potential of the small hydropower plants which make together 30% of the total installed capacity is taken into account, the optimal ratio of production from the other sources is: 50% wind power generation and 20% photovoltaic power generation.
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Impact of photovoltaic power plants on the overall electric power system of the Republic of Macedonia
(2013)
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Tomovski, Igor
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Kocarev, Ljupco
In this paper we analyze the impact of the renewable energy sources on the overall electric power system of the Republic of Macedonia. Specifically, the effect of the photovoltaic power plants is examined. For this purpose we developed an electricity production optimization model, based on standard network flow model. The renewable energy sources are included in the model of Macedonia based on hourly meteorological data. Electricity producers that exist in 2012 are included in the base scenario. Two more characteristic years are analyzed, i.e. 2015 and 2020. The electricity producers planned to be constructed in these two years (which include the renewable energy sources) are also included. The results show that the renewable energy sources introduce imbalance in the system when the minimum electricity production is higher than the electricity required by the consumers. But, in these critical situations the production from photovoltaic energy sources is zero, which means that they produce electricity during the peak load, and do not produce when the consumption is at minimum.

Dedinec Kanevche, Aleksandra

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