The AMIDiNe project is led by Dr Bruce Stephen, a Senior Research Fellow within the Institute for Energy and the Environment at the University of Strathclyde. Since 2009, his research has focused mainly on complex dependency modelling in renewable energy systems and understanding energy end usage as an investigator on both the EPSRC BuildTEDDI APAtSCHE project (EP/K002708/1), the EPSRC/ESC TESA (EP/R002312/1) project, the EPSRC AGILE (EP/S003088/1) project and the FP7 ORIGIN project (FP7 grant agreement No 314742). Bruce is currently joint lead of two core research themes in the Power Networks Demonstration Centre: Power System Asset Management and Future Networks & Demand Side Management, where he has specified and is currently overseeing industry led innovation projects with partners SPEN, SSE, UKPN, Vodafone and CISCO.

Leading AMIDiNe Work Package 2, Prof David Wallom (Co-I) is Associate Professor and Associate Director – Innovation of the Oxford e-Research Centre (OeRC), where he leads two different research groups, Energy & Environmental Informatics and Advanced e-Infrastructure & Cloud Computing. He has led OeRC participation in 50 research projects in areas such as Cloud utilisation, Smart Energy Grids, Research data management, Green IT, ICT security and institutional repositories. 

Dr Jethro Browell (Co-I) is a Research Fellow within the Institute for Energy and Environment at the University of Strathclyde, an EPSRC-UKRI Innovation Fellow (EP/R023484/1) and leads AMIDiNe Work Package 3. His research spans energy forecasting from development of novel statical methodologies through to forecast end-use and decision science. He has been supported by funding from both government and industrial sources, notably from SSE, ScottishPower and Wood Group via the UoS TIC Low Carbon Power and Energy programme where is has been PI and Co-I of numerous projects related to forecasting with an emphasis on applications to electricity market participation and power system operation. He is active in the International Energy Agency, recently co-authoring a recommended practice for forecast evaluation.

Dr Maomao Hu received his PhD degree in Building Services Engineering at the Hong Kong Polytechnic University (PolyU) in 2019. In 2018, he studied as a guest PhD student in Department of Applied Mathematics and Computer Science at Technical University of Denmark. After his PhD, he continued to work as a postdoctoral research fellow at PolyU till February 2020. Maomao’s current research interests include data analytics, data-driven modelling, numerical optimisation, and model predictive control of building energy systems for energy efficiency and energy flexibility. Since March 2020, he joined the Energy and Environmental Informatics group in Department of Engineering Science at University of Oxford.

Dr Rory Telford received the B.Eng., M.Sc., and Ph.D. degrees in electronic and electrical engineering from the University of Strathclyde, Glasgow, U.K., in 2008, 2011, and 2017, respectively. He is currently a Research Associate with the Institute for Energy and Environment, University of Strathclyde. His research interests include application of AI techniques, data-driven fault diagnostics, and power system modeling and analysis.

Prof Stuart Galloway (Co-I) is Professor of Compact Power Systems in the Department of Electronic and Electrical Engineering at University of Strathclyde, where he leads research groups in Novel Electrical Systems and in Data Analytics and his research is concerned with multi-domain modelling of micro-grid applications for smart energy, and behavioural change. He is an editorial board member for the IET in Electrical Systems for Transportation and for Generation Transmission and Distribution. He recently secured funded research projects with The DataLab and National Physical Laboratory to help establish the value of reliable and frequent electrical systems data to consumers, utilities and SMEs.

Dr Dongjiao Ge received her BSc in 2012 and MSc in 2015 in Applied Maths from the School of Mathematics at Sichuan University, China, and obtained her PhD at 2020 in Machine Learning from the Department of Computer Science, University of Manchester, U.K. She is currently a postdoctoral research associate in Energy System Analytics at the Department of Engineering Science, University of Oxford, U.K. Her research interests are computational intelligence, functional data analysis, and energy system analytics.

Ciaran Gilbert received his MSc in Sustainable Engineering with a speciality in offshore renewable energy in 2015. He is currently a PhD student at the Wind & Marine Energy Systems Centre for Doctoral Training at the University of Strathclyde, Glasgow. His research interests are in energy, offshore access, and electricity price forecasting.’