Winner of 2021 EPS Postgraduate Research 2nd Year Prize

The Smart System Group Congratulate Sonam Norbu who has been chosen as the Winner of 2021 EPS Postgraduate Research 2nd Year Prize from the Institute of Sensors, Signals and Systems, The School of Engineering and Physical Science (EPS). The prize will be awarded at the upcoming Annual EPS Postgraduate Research (PGR) Day, the 18th  October, […]


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Early Access Publication: Modeling Economic Sharing of Joint Assets in Community Energy Projects under LV Network Constraints

The Smart Systems Group congratulate Sonam Norbu, Dr. Benoit Couraud, Dr. Merlinda Andoni, Dr. Valentin Robu and Prof. David Flynn on the acceptance of their paper “Modeling Economic Sharing of Joint Assets in Community Energy Projects under LV Network Constraints“, published in IEEE Access (Early Access) today. “The trend of decentralization of energy services has […]


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New Publication: Prediction of voltage distribution using deep learning and identified key smart meter locations

The energy landscape for the Low-Voltage (LV) networks is undergoing rapid changes. These changes are driven by the increased penetration of distributed Low Carbon Technologies, both on the generation side (i.e. adoption of micro-renewables) and demand side (i.e. electric vehicle charging). The previously passive ‘fit-and-forget’ approach to LV network management is becoming increasing inefficient to […]


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Robotic Technologies in Offshore Wind

Published today in Power Technology, written by Yoana Cholteeva “As the need for better capabilities and more predictability in the offshore wind sector is growing, the industry has welcomed its collaboration with robotic technologies. Robotics and AI come as powerful tools to help unlock human potential, providing assistance and support to inform human decision making, often […]


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DIGIT Editor’s Pick | The Challenges and Opportunities of Big Data

Published online by Digit, the Smart Systems Group’s Professor David Flynn explores how industry, society and government extract future value from Big Data. Many businesses, organisations and government departments are increasingly interested in unlocking the value of big data analytics to gain a detailed insight into their stakeholders and market trends. However, this fascination with […]


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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 […]


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New Publication: Flexible Low-Density Polyethylene–BaTiO3 Nanoparticle Composites for Monitoring Leakage Current in High-Tension Equipment

Congratulations to Ranjeetkumar Gupta, David Bucknall and David Flynn on the acceptance of their recent manuscript “Flexible Low-Density Polyethylene–BaTiO3 Nanoparticle Composites for Monitoring Leakage Current in High-Tension Equipment” for publication in Applied Nanomaterials. ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications […]


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New Release: HOME Offshore Summary Brochure

The HOME Offshore team are pleased to announce the release of the new brochure, where we showcase how to de-risk offshore wind operations, reduce costs and make better use of assets through the applications of Modelling and Data Science, Machine Learning, Advanced Sensing and Robotics. An excellent academic and industrial collaboration thanks to the consortium […]


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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 […]


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New method for controlling and sharing the benefits from community energy projects

Congratulations to Sonam Norbu, Benoit Couraud, Valentin Robu, Merlinda Andoni and David Flynn on the acceptance of their publication “Modelling the redistribution of benefits from joint investments in community energy projects” to Elsevier’s Applied Energy journal. Applied Energy provides a forum for information on innovation, research, development and demonstration in the areas of energy conversion and conservation, the optimal […]


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