• 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  

      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  

      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 ...
    • Conference Object  

      A robotic cloud ecosystem for elderly care and ageing well: The GrowMeUp approach 

      Georgiadis, Dimosthenis; Christophorou, C.; Kleanthous, Styliani; Andreou, Panayiotis G.; Santos, L.; Christodoulou, Eleni; Samaras, George S. (Springer Verlag, 2016)
      Robotic systems in Ageing Well, like GrowMeUp, are among those assistive technologies, providing companionship and offering functionality related to the support of active and independent living, monitoring and maintaining ...
    • Conference Object  

      Scalable and dynamic global power management for multicore chips 

      Otoom, M.; Trancoso, Pedro; Almasaeid, H.; Alzubaidi, M. (Association for Computing Machinery, 2015)
      The design for continuous computer performance is increasingly becoming limited by the exponential increase in the power consumption. In order to improve the energy efficiency of multicore chips, we propose a novel global ...
    • Article  

      Toward automated generation of parametric BIMs based on hybrid video and laser scanning data 

      Brilakis, Ioannis; Lourakis, Manolis; Sacks, Rafael; Savarese, Silvio; Christodoulou, Symeon E.; Teizer, Jochen; Makhmalbaf, Atefe (2010)
      Only very few constructed facilities today have a complete record of as-built information. Despite the growing use of Building Information Modelling and the improvement in as-built records, several more years will be ...