Data-driven predictive control for unlocking building energy flexibility: A review A Kathirgamanathan, M De Rosa, E Mangina, DP Finn Renewable and Sustainable Energy Reviews 135, 110120, 2021 | 235 | 2021 |
Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis U Ali, MH Shamsi, C Hoare, E Mangina, J O’Donnell Energy and buildings 246, 111073, 2021 | 181 | 2021 |
UAV bridge inspection through evaluated 3D reconstructions S Chen, DF Laefer, E Mangina, SMI Zolanvari, J Byrne Journal of Bridge Engineering 24 (4), 05019001, 2019 | 179 | 2019 |
The changing role of information technology in food and beverage logistics management: beverage network optimisation using intelligent agent technology E Mangina, IP Vlachos Journal of food engineering 70 (3), 403-420, 2005 | 174 | 2005 |
A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making U Ali, MH Shamsi, M Bohacek, K Purcell, C Hoare, E Mangina, ... Applied Energy 279, 115834, 2020 | 132 | 2020 |
Input variable selection for thermal load predictive models of commercial buildings DS Kapetanakis, E Mangina, DP Finn Energy and Buildings 137, 13-26, 2017 | 101 | 2017 |
A data-driven approach to optimize urban scale energy retrofit decisions for residential buildings U Ali, MH Shamsi, M Bohacek, C Hoare, K Purcell, E Mangina, ... Applied Energy 267, 114861, 2020 | 99 | 2020 |
A data-driven approach for multi-scale building archetypes development U Ali, MH Shamsi, C Hoare, E Mangina, J O’Donnell Energy and buildings 202, 109364, 2019 | 93 | 2019 |
State of technology review of civilian UAVs S Chen, D F Laefer, E Mangina Recent Patents on Engineering 10 (3), 160-174, 2016 | 87 | 2016 |
Learning outcomes of immersive technologies in health care student education: systematic review of the literature GV Ryan, S Callaghan, A Rafferty, MF Higgins, E Mangina, F McAuliffe Journal of medical Internet research 24 (2), e30082, 2022 | 79 | 2022 |
Fully automated breast density segmentation and classification using deep learning N Saffari, HA Rashwan, M Abdel-Nasser, V Kumar Singh, M Arenas, ... Diagnostics 10 (11), 988, 2020 | 72 | 2020 |
Forecast electricity demand in commercial building with machine learning models to enable demand response programs F Pallonetto, C Jin, E Mangina Energy and AI 7, 100121, 2022 | 71 | 2022 |
A fundamental unified framework to quantify and characterise energy flexibility of residential buildings with multiple electrical and thermal energy systems A Bampoulas, M Saffari, F Pallonetto, E Mangina, DP Finn Applied Energy 282, 116096, 2021 | 68 | 2021 |
A multi agent system for monitoring industrial gas turbine start-up sequences EE Mangina, SDJ McArthur, JR McDonald, A Moyes IEEE Transactions on Power Systems 16 (3), 396-401, 2001 | 67 | 2001 |
Review of software products for multi-agent systems E Mangina AgentLink, software report, 2002 | 64 | 2002 |
Current challenges and future research directions in augmented reality for education MZ Iqbal, E Mangina, AG Campbell Multimodal Technologies and Interaction 6 (9), 75, 2022 | 51 | 2022 |
Future mixed reality educational spaces AG Campbell, K Santiago, D Hoo, E Mangina 2016 future technologies Conference (FTC), 1088-1093, 2016 | 50 | 2016 |
A framework for uncertainty quantification in building heat demand simulations using reduced-order grey-box energy models MH Shamsi, U Ali, E Mangina, J O’Donnell Applied Energy 275, 115141, 2020 | 49 | 2020 |
Exploring the effect of an augmented reality literacy programme for reading and spelling difficulties for children diagnosed with ADHD C Tosto, T Hasegawa, E Mangina, A Chifari, R Treacy, G Merlo, ... Virtual Reality 25, 879-894, 2021 | 48 | 2021 |
A review on augmented reality authoring toolkits for education A Dengel, MZ Iqbal, S Grafe, E Mangina Frontiers in Virtual Reality 3, 798032, 2022 | 46 | 2022 |