• Conference Object  

      Advanced health-state data analytic workflow for utility-scale photovoltaic power plants 

      Montes-Romero, Jesus; Pikolos, Loucas; Makrides, Andreas; Heinzle, Nino; Makrides, George; Sutterlueti, Juergen; Ransome, Steve; Georghiou, George E. (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 ...
    • Article  

      An architectural palimpsest: (Re)writing crisis-ridden Athens 

      Avramidis, Konstantinos (Intellect, 2020-03-10)
      This article focuses on the Bank of Greece headquarters building in Athens, which has been a site of recurring political expression in contemporary crisis. It is based on a corpus of graffiti writings from the particular ...
    • Article  

      ArrayFlex: A Systolic Array Architecture with Configurable Transparent Pipelining 

      Peltekis, Christodoulos; Filippas, Dionysios; Dimitrakopoulos, Giorgos; Nicopoulos, Chrysostomos; Pnevmatikatos, Dionisios (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 ...
    • Book Chapter  

      Buildings as unsolicited drawing surfaces: an Atlas of Athenian inscriptions 

      Avramidis, Konstantinos (Routledge, 2022-05-31)
      Buildings come from drawings, but what happens when buildings are turned into drawing surfaces for unsolicited graffiti writings? Moreover, what happens when the drawings come together in a curated and designed book object? ...
    • Article  

      The Case for Asymmetric Systolic Array Floorplanning 

      Peltekis, Christodoulos; Filippas, Dionysios; Dimitrakopoulos, Giorgos; Nicopoulos, Chrysostomos (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 ...
    • Article  Open Access

      Characterisation of the anisotropic response of wire and arc additively manufactured stainless steel 

      Hadjipantelis, Nicolas; Weber, Ben; Gardner, Leroy (Ernst & Sohn GmbH, 2021-09-01)
      In contrast to conventional structural steel and stainless steel, wire and arc additively manufac-tured (WAAM) material can exhibit a strongly anisotropic response. To investigate the degree of anisotropy in WAAM ...
    • Article  

      Characterizing soiling losses for photovoltaic systems in dry climates: a case study in Cyprus 

      Lopez-Lorente, Javier; Polo, Jesús; Martín-Chivelet, Nuria; Norton, Matthew; Livera, Andreas; Makrides, George; Georghiou, George E. (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 ...
    • Conference Object  

      Charakterisierung und Degradation von Perowskit Mini-modulen 

      Ebner, Rita; Ujvari, Gusztav; Mittal, Ankit; Hadjipanayi, Maria; Paraskeva, Vasiliki S.; Georghiou, George E.; Hadipour, Afshin; Aguirre, Aranzazu; Aernouts, Tom; Fontanot, Tommaso; Pechmann, Stefan; Christiansen, Silke; Zardetto, Valerio (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 ...
    • Conference Object  

      A combination of weather clustering and data-driven methods for intraday PV power production forecasting 

      Theocharides, Spyros; Ilia, Neofytos; Makrides, George; Georghiou, George E. (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 ...
    • Article  Open Access

      A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis 

      Michail, Anna; Livera, Andreas; Tziolis, Georgios; Carús Candás, Juan Luis; Fernandez, Alberto; Antuña Yudego, Elena; Fernández Martínez, Diego; Antonopoulos, Angelos; Tripolitsiotis, Achilleas; Partsinevelos, Panagiotis; Koutroulis, Eftichis; Georghiou, George E. (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 ...
    • Article  

      A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis 

      Michail, Anna; Livera, Andreas; Tziolis, Georgios; Carús Candás, Juan Luis; Fernandez, Alberto; Yudego, Elena Antuña; Martínez, Diego Fernández; Antonopoulos, Angelos; Tripolitsiotis, Achilleas; Partsinevelos, Panagiotis; Koutroulis, Eftichis; Georghiou, George E. (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 ...
    • Conference Object  

      Correlative microscopy and spectroscopy of perovskite mini-modules: degradation analysis 

      Paraskeva, Vasiliki; Pechmann, Sabrina; Fontanot, Tommaso; Aguirre, Aranzazu; Aernouts, Tom; Peraticos, Elias; Hadjipanayi, Maria; Sergides, Marios; Othonos, Andreas; Christiansen, Silke; Georghiou, George E. (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 ...
    • Article  

      Crises and/of representations: the sites of drawings and/of writings in Athens 

      Avramidis, Konstantinos (Routledge, 2021-07-07)
      This article focuses on the Athens Polytechnic, an emblematic site that has been the epicentre of historical ruptures during which it has been extensively graffitied. It is based on a corpus consisting of graffiti writings ...
    • Article  

      Description of anisotropic material response of wire and arc additively manufactured thin-walled stainless steel elements 

      Hadjipantelis, Nicolas; Weber, Ben; Buchanan, Craig; Gardner, Leroy (Applied Science Publishers, 2022)
      In contrast to conventionally-produced structural steel and stainless steel elements, wire and arc additively manufactured (WAAM) elements can exhibit a strongly anisotropic material response. To investigate this behaviour, ...
    • Conference Object  

      Development of an innovative hybrid AC-DC distribution system for building integrated photovoltaics and energy storage solutions 

      Charalambous, Chrysanthos; Polycarpou, Alexis; Efthymiou, Venizelos; Georghiou, George E. (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 ...
    • Conference Object  

      Direct Against Indirect Short-Term Net Load Forecasting Using Machine Learning Principles for Renewable Microgrids 

      Tziolis, Georgios; Livera, Andreas; Michail, Anna; Makrides, George; Georghiou, George E. (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. ...
    • Article  

      Direct Short-Term Net Load Forecasting Based on Machine Learning Principles for Solar-Integrated Microgrids 

      Tziolis, Georgios; Livera, Andreas; Montes-Romero, Jesus; Theocharides, Spyros; Makrides, George; Georghiou, George E. (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 ...
    • Article  

      Direct short-term net load forecasting in renewable integrated microgrids using machine learning: a comparative assessment 

      Tziolis, Georgios; Lopez-Lorente, Javier; Baka, Maria-Iro; Koumis, Anastasios; Livera, Andreas; Theocharides, Spyros; Makrides, George; Georghiou, George E. (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 ...
    • Book Chapter  

      Drawing transgression, transgressing drawing: tracing graffiti traces 

      Avramidis, Konstantinos (Bureau d’études de pratiques indisciplinées, University of Quebec at Montreal, 2024-07-18)
    • Article  

      DSO-Aggregator demand response cooperation framework towards reliable, fair and secure flexibility dispatch 

      Venizelou, Venizelos; Tsolakis, Apostolos C.; Evagorou, Demetres; Patsonakis, Christos; Koskinas, Ioannis; Therapontos, Phivos; Zyglakis, Lampros; Ioannidis, Dimosthenis; Makrides, George; Tzovaras, Dimitrios; Georghiou, George E. (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. ...