Browsing Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering by Faculty "007 Πολυτεχνική Σχολή / Faculty of Engineering"
Now showing items 1-20 of 44
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Conference Object
Advanced health-state data analytic workflow for utility-scale photovoltaic power plants
(IEEE, 2023)This work aims to present data analytic advances and next-generation workflows for utility-scale photovoltaic (PV) power plant monitoring. The proposed health-state architecture comprises of an integrated and scalable ...
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Article
ArrayFlex: A Systolic Array Architecture with Configurable Transparent Pipelining
(IEEE, 2023-06-02)Convolutional Neural Networks (CNNs) are the state-of-the-art solution for many deep learning applications. For maximum scalability, their computation should combine high performance and energy efficiency. In practice, the ...
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Article
The Case for Asymmetric Systolic Array Floorplanning
(IEEE, 2023-09)The widespread proliferation of deep learning applications has triggered the need to accelerate them directly in hardware. General Matrix Multiplication (GEMM) kernels are elemental deep-learning constructs and they ...
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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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Conference Object
Charakterisierung und Degradation von Perowskit Mini-modulen
(2023)Organic-inorganic hybrid metal halide perovskites are poised to revolutionize the next generation of photovoltaics with their exceptional optoelectronic properties compatibility with low-cost and large-scale fabrication ...
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Conference Object
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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Article Open Access
A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis
(Elsevier, 2024-01-03)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
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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Conference Object
Correlative microscopy and spectroscopy of perovskite mini-modules: degradation analysis
(2023)Perovskite materials have excellent prospects for semiconducting applications due to their desirable photoelectric properties. The morphology and the structure of the light absorption layer are crucially important for the ...
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Conference Object
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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Conference Object
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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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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Article
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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Article
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 Open Access
Estimating the Performance Loss Rate of Photovoltaic Systems Using Time Series Change Point Analysis
(MDPI, 2023-04-26)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 ...
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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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Article
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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Conference Object
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Conference Object
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 ...