009 Κέντρα Αριστείας και Ερευνητικές Μονάδες / Centres of Excellence and Research Units
Στο Πανεπιστήμιο Κύπρου λειτουργούν ερευνητικά κέντρα και ερευνητικές μονάδες ως οντότητες με σημαντική αυτονομία, οι οποίες εντάσσονται στη συνολική προσπάθεια παραγωγής νέας γνώσης και καινοτομίας. / A number of research centres and research units operate at the University of Cyprus as entities with increased scientific and research autonomy committed to conducting rigorous and innovative research.
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Πρόσφατες υποβολές
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Conference Object Open Access
ExTra: Expediting file transfers through optimized inter-vehicle communication
(IEEE International Conference on Communications (ICC), 2014)In the realm of cooperative Intelligent Transportation Systems, vehicles are able to communicate with each other and with the available telecommunications infrastructure to support various safety-related services, ...
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A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis
(Elsevier, 2024)Accurate photovoltaic (PV) diagnosis is of paramount importance for reducing investment risk and increasing the bankability of the PV technology. The application of fault diagnostic solutions and troubleshooting on operating ...
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Long-term outdoor testing of perovskite mini-modules: effects of FACl additives
(MDPI, 2023)The outdoor performance monitoring of perovskite modules over 16 weeks is reported. Two different types of active perovskite layers were studied: one type contained formamidinium chloride (FACl) halide additives and the ...
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Direct short-term net load forecasting in renewable integrated microgrids using machine learning: a comparative assessment
(Elsevier, 2024)Modern microgrids require accurate net load forecasting (NLF) for optimal operation and management at high shares of renewable energy sources. Machine learning (ML) principles can be used to develop precise and reliable ...
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DSO-Aggregator demand response cooperation framework towards reliable, fair and secure flexibility dispatch
(MDPI, 2023)Unlocking flexibility on the demand side is a prerequisite for balancing supply and de- mand in distribution networks with high penetration levels of renewable energy sources that lead to high volatility in energy prices. ...
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Evaluation of the performance of hybrid AC-DC electrical distribution system in buildings. A case study of a historical building in Cyprus.
(2023)The problem of climate change is one of the major worldwide concerns. Moving towards a cleaner and more sustainable development in different sectors including industries, transportation, power, and other areas, is the ...
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Methodology for Identification of the Optimal Structure of Hybrid AC-DC Microgrids and Micro Energy Hubs
(IEEE, 2023)With the increasing availability of DC consumer appliances as well as the increasing penetration of direct current (DC) Distributed Energy Resources (DERs) such as photovoltaics (PV) and Energy Storage Systems (ESS), the ...
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A combination of weather clustering and data-driven methods for intraday PV power production forecasting
(2023)PV systems are becoming the primary solution for meeting future electricity demands as conventional power generation declines globally. However, integrating PV systems into distribution networks presents new challenges in ...
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Fault detection and prediction in grid-connected photovoltaic (PV) systems
(2023)Increased productivity of photovoltaic (PV) renewable assets can be achieved through the development of advanced software algorithms for identifying and predicting inefficiencies in assets. The scope of this work is to ...
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Short-term electric net load forecasting for solar-integrated distribution systems based on Bayesian neural networks and statistical post-processing
(Elsevier, 2023)The increasing integration of variable renewable technologies at distribution feeders, mainly solar photovoltaic (PV) systems, presents new challenges to grid operators for accurately forecasting demand. This renders the ...
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Exploring Price Classification in Day Ahead Electricity Markets through Graph Theory and PNN Modelling
(2023)This paper delves into the intersection of graph theory and electricity market data analysis. The introductory section lays the foundation by elucidating the theoretical underpinnings of graph theory and its relevance to ...
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Key Aspects and Challenges in the Implementation of Energy Communities
(MDPI, 2023)Energy communities (ECs) are an important tool towards a fair energy transition. Hence, the European Union (EU) has positioned ECs at the centre of its energy strategy and the foreseen transformation of its energy system. ...
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Article
Direct Short-Term Net Load Forecasting Based on Machine Learning Principles for Solar-Integrated Microgrids
(IEEE, 2023)Accurate net load forecasting is a cost-effective technique, crucial for the planning, stability, reliability, and integration of variable solar photovoltaic (PV) systems in modern power systems. This work presents a direct ...
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Development of an innovative hybrid AC-DC distribution system for building integrated photovoltaics and energy storage solutions
(2023)One of the main concerns globally is the phenomenon of climate change - which is mainly caused by human activities. The total energy demand is rising as a result of an increasing number of residential and commercial ...
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Scale-bridging, multi-modal characterization of metal halide perovskite materials and devices
(2023)Organic-inorganic hybrid metal halide perovskite solar cells show exceptional optoelectronic properties in line with low-cost and large-scale fabrication and have demonstrated a leap forward in power conversion efficiency ...
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Unmanned Aerial Vehicle (UAV) Decision-Making for Photovoltaic (PV) Plant Diagnostics Using Image and Electrical Data Analysis
(2023)This paper aims to develop an unmanned aerial vehicle (UAV) decision-making platform for accurate photovoltaic (PV) plant diagnosis and optimum operation and maintenance (O&M) activities. A modular approach was followed ...
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Towards novel modelling tools for building energy performance and optimal integration of multi-energy vector technologies
(2023)The choice of optimal combinations of energy technologies in integrated building energy systems requires the use of advanced modelling tools along three key dimensions: (i) building energy demand; (ii) technology cost and ...
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Direct Against Indirect Short-Term Net Load Forecasting Using Machine Learning Principles for Renewable Microgrids
(IEEE Xplore, 2023)Net load forecasting (NLF) is a key component for the efficient operation and management of microgrids at high shares of renewables. Depending on the forecasting strategy followed, NLF is classified as direct or indirect. ...
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