The transition of AI into industrial maintenance faces significant challenges due to the inherent complexities of industrial operations, such as variability in components due to manufacturing, integration, dynamic operating environments and variable loading conditions. Therefore, AI in critical industrial systems requires more advanced capabilities such as robustness, scalability and verifiability. Our paper presents the first […]
Tag: IEEE
New Publication: Analysis of Strategic Renewable Energy, Grid and Storage Capacity Investments via Stackelberg-Cournot modelling
Congratulations to Dr. Merlinda Andoni, Dr. Valentin Robu, Dr. Benoit Couraud, Dr. Wolf-Gerrit Fruh, Mr. Sonam Norbu and Prof. David Flynn for the acceptance of their manuscript “Analysis of Strategic Renewable Energy, Grid and Storage Capacity Investments via Stackelberg-Cournot modelling” for publication in IEEE Access. IEEE Access is an award-winning, multidisciplinary, all-electronic archival journal, continuously presenting the […]
New Publication: A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature
Congratulations to Darius Roman, Valentin Robu and David Flynn for acceptance of their research to IEEE Access. Their publication “A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature” was a collaborative work between the Smart Systems Group, the Argonne National Laboratory, Baker Hughes, the Center for Advanced Life Cycle Engineering (CALCE) and […]
New Publication: Interactive Digital Twins Framework for Asset Management Through Internet
The Smart Systems Group congratulates Mr. Leo Kong for the acceptance of his paper to the IEEE Global Conference on Artificial Intelligence & Internet of Things on Monday 14th December. This conference was held virtually and hosted in Dubai, UAE. Co-authored by Mr. Sam Harper, Mr. Daniel Mitchell, Dr. Jamie Blanche, Dr. Theo Lim and […]
Upcoming Webinar 17th September 2020: Artificial Intelligence and Machine Learning for Demand-Side Response
We are pleased to announce an upcoming webinar hosted by IEEE Smart Grid, titled “Artificial Intelligence and Machine Learning for Demand-Side Response” presented by Ioannis Antonopoulos, Benoit Couraud and Valentin Robu of the Smart Systems Group. This event will be held Thursday, September 17, 2020 – 11:00am EDT In the recent years, there has been […]