Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Alexios Birbas"'
Publikováno v:
IEEE Access, Vol 12, Pp 32014-32032 (2024)
The energy sector is undergoing a transformative shift, driven by advancements in Distributed Energy Resources (DERs), the digitization of the energy supply chain and decarbonization policy objectives across the world. This paradigm shift has led to
Externí odkaz:
https://doaj.org/article/9582ff5705864462a83e48a631e56ae0
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3179 (2024)
The extreme ultraviolet (EUV) photolithography process is a cornerstone of semiconductor manufacturing and operates under demanding precision standards realized via nanometer-level overlay (OVL) error modeling. This procedure allows the machine to an
Externí odkaz:
https://doaj.org/article/1060c0f597184662adc16ed080649ea5
Autor:
Gerasimos Gerogiannis, Michael Birbas, Aimilios Leftheriotis, Eleftherios Mylonas, Nikolaos Tzanis, Alexios Birbas
Publikováno v:
IEEE Access, Vol 10, Pp 18526-18543 (2022)
In this work, we present the design and implementation of an ultra-low latency Deep Reinforcement Learning (DRL) FPGA based accelerator for addressing hard real-time Mixed Integer Programming problems. The accelerator exhibits ultra-low latency perfo
Externí odkaz:
https://doaj.org/article/988aafa16363434eaffe01a535449ef0
Publikováno v:
Information, Vol 14, Iss 8, p 428 (2023)
In photolithographic processes, nanometer-level-precision wavefront-aberration models enable the machine to be able to meet the overlay (OVL) drift and critical dimension (CD) specifications. Software control algorithms take as input these models and
Externí odkaz:
https://doaj.org/article/ebac337d737443f1a7ccd5981a357856
Autor:
Konstantinos Plakas, Nikos Andriopoulos, Alexios Birbas, Ioannis Moraitis, Alex Papalexopoulos
Publikováno v:
Engineering Proceedings, Vol 39, Iss 1, p 18 (2023)
Forecasting imbalance volumes are of great importance for the different actors in electricity markets. From a transmission system operator (TSO) perspective, balancing supply and demand in real-time is one of the main operational tasks to ensure the
Externí odkaz:
https://doaj.org/article/d4b98b4dc8754e21b9affe4cb7d960bf
Autor:
Konstantinos Plakas, Ioannis Karampinis, Panayiotis Alefragis, Alexios Birbas, Michael Birbas, Alex Papalexopoulos
Publikováno v:
Energies, Vol 16, Iss 10, p 4085 (2023)
Electricity price forecasting (EPF) has become an essential part of decision-making for energy companies to participate in power markets. As the energy mix becomes more uncertain and stochastic, this process has also become important for industrial c
Externí odkaz:
https://doaj.org/article/363b641b7e21461e9c51f0986c5cbbed
Autor:
Peter Hehenberger, Dominik Leherbauer, Olivia Penas, Romain Delabeye, Stanislao Patalano, Ferdinando Vitolo, Andrea Rega, Panayiotis Alefragis, Michael Birbas, Alexios Birbas, Panagiotis Katrakazas
Publikováno v:
Systems, Vol 11, Iss 2, p 100 (2023)
Optimizing and predicting the energy consumption of industrial manufacturing can increase its cost efficiency. The interaction of different aspects and components is necessary. An overarching framework is currently still missing, and establishing suc
Externí odkaz:
https://doaj.org/article/257f502c8b0044e68c019630aefe7310
Autor:
Nikos Andriopoulos, Konstantinos Plakas, Christos Mountzouris, John Gialelis, Alexios Birbas, Stylianos Karatzas, Alex Papalexopoulos
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1798 (2023)
The upward trend of adopting Distributed Energy Resources (DER) reshapes the energy landscape and supports the transition towards a sustainable, carbon-free electricity system. The integration of Internet of Things (IoT) in Demand Response (DR) enabl
Externí odkaz:
https://doaj.org/article/8c3d110c600c45c4bcd5df195e814769
Autor:
Nikos Andriopoulos, Aristeidis Magklaras, Alexios Birbas, Alex Papalexopoulos, Christos Valouxis, Sophia Daskalaki, Michael Birbas, Efthymios Housos, George P. Papaioannou
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 158 (2020)
The continuous penetration of renewable energy resources (RES) into the energy mix and the transition of the traditional electric grid towards a more intelligent, flexible and interactive system, has brought electrical load forecasting to the foregro
Externí odkaz:
https://doaj.org/article/1390c54aafef46d98395629448705a2c
Autor:
Nikolaos Tzanis, Eleftherios Mylonas, Panagiotis Papaioannou, Michael Birbas, Alexios Birbas, Christos Tranoris, Spyros Denazis, Alex Papalexopoulos
Publikováno v:
IEEE Transactions on Cloud Computing. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8bb46136d0074f09ef36ee51894e338
https://doi.org/10.1109/tcc.2023.3241698
https://doi.org/10.1109/tcc.2023.3241698