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 […]
Tag: Machine Learning
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 […]
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 […]
The Importance of Fusion Prognostics for Sustainable Subsea Power Cable Health Management
Offshore wind farms play a vital role for a sustainable, low-carbon future. Subsea power cables are an essential asset for the electrical transmission and distribution of power from such windfarms. The reliability of these cables determines the sustainability of the power supply and the economic viability of offshore wind farms. Locating and replacing damaged sections […]
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 […]
New Publication: Prognostics and Health Management for the Optimization of Marine Hybrid Energy Systems
In 2018, Heriot-Watt University won the British Renewable Energy Association (BREA) award for the decarbonisation of transport, recognising quality, commitment and innovation in low carbon vehicles – cars, vans, buses, road freight or on farm vehicles, powered by clean electricity or sustainable biofuels – and alternative vehicle fuels. We are very pleased to now provide […]
New Publication: Artificial Intelligence and Machine Learning Approaches to Energy Demand-Side Response: A Systematic Review
The Smart Systems Group, in collaboration with the Center for Collective Intelligence at Massachusetts Institute of Technology, the School of Engineering at University of Edinburgh, the Office of Gas and Electricity Markets (Ofgem) and Upside Energy are pleased to announce the publication of “Artificial Intelligence and Machine Learning Approaches to Energy Demand-side Response: A Systematic […]
AI-driven Maintenance Support for Downhole Tools and Electronics Operated in Dynamic Drilling Environments
Well Done to our PhD students Lucas Kirschbaum and Darius Roman and the co-authorship team in Baker Hughes, Celle for their recent paper acceptance to IEEE Access for publication. This research represents a strong example of how the Smart Systems Group are creating solutions for complex challenges. An international partnership between Heriot Watt University, Edinburgh and […]