Browsing 009 Κέντρα Αριστείας και Ερευνητικές Μονάδες / Centres of Excellence and Research Units by Type "Article"
Now showing items 1-12 of 12
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Article
Characterizing soiling losses for photovoltaic systems in dry climates: a case study in Cyprus
(Elsevier, 2023)Ensuring optimal performance of solar photovoltaic (PV) systems requires the extensive assessment and understanding of losses of different origin that affect these installations. Soiling is a key loss factor influencing ...
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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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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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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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Article
Electricity Day-Ahead Market Conditions and Their Effect on the Different Supervised Algorithms for Market Price Forecasting
(MDPI, 2023)Participants in deregulated electricity markets face risks from price volatility due to various factors, including fuel prices, renewable energy production, electricity demand, and crises such as COVID-19 and energy-related ...
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Article
Estimating the performance loss rate of photovoltaic systems using time series change point analysis
(MDPI, 2023)The accurate quantification of the performance loss rate of photovoltaic systems is critical for project economics. Following the current research activities in the photovoltaic performance and reliability field, this work ...
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Evaluating the techno-economic effect of pricing and consumption parameters on the power-to-energy ratio for sizing photovoltaic-battery systems: an assessment of prosumers in the Mediterranean Area
(MDPI, 2023)The momentous deployment of photovoltaic (PV) installations in modern times converted schemes utilised to support behind-the-meter systems to compensation mechanisms promoting self-consumption for all prosumer types. ...
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Article
Eventum: a journal of Medieval arts & rituals
(Università degli Studi di Milano, 2023)Eventum aims to reposition the arts and rituals of various medieval traditions and to provide an international and congenial forum for the presentation and discussion of research on: all medieval arts in and as rituals; ...
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Article
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
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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Article
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 ...