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Jonathan William Reynolds
Research Thesis REAL-TIME AND SEMANTIC ENERGY MANAGEMENT ACROSS BUILDINGS IN A DISTRICT CONFIGURATION.
Publications 2020 2019 2018 Ahmad, M., Reynolds, J. and Rezgui, Y. 2018. Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees . Journal of Cleaner Production 203, pp. 810-821. (10.1016/j.jclepro.2018.08.207 ) Reynolds, J., Ahmad, M. W. and Rezgui, Y. 2018. District heating energy generation optimisation considering thermal storage . Presented at: International Conference on Smart Energy Grid Engineering (IEEE SEGE 2018), Oshawa, ON, Canada, 12-15 August 20182018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) . IEEE pp. 330-335., (10.1109/SEGE.2018.8499509 ) Ahmad, M. W. et al. 2018. A real-time energy management platform for multi-vector district energy systems . Presented at: 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, 17-19 September 2018 Presented at Camarinha-Matos, L. M., Afsarmanesh, H. and Rezgui, Y. eds.Collaborative Networks of Cognitive Systems: 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, September 17-19, 2018, Proceedings Editors (view affiliations) , Vol. 534. IFIP Advances in Information and Communication Technology Cham: Springer Verlag (Germany) pp. 560-568., (10.1007/978-3-319-99127-6_48 ) Reynolds, J., Ahmad, M. and Rezgui, Y. 2018. Holistic modelling techniques for the operational optimisation of multi-vector energy systems . Energy and Buildings 169, pp. 397-416. (10.1016/j.enbuild.2018.03.065 ) Reynolds, J., Rezgui, Y., Kwan, A. and Piriou, S. 2018. A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control . Energy 151, pp. 729-739. (10.1016/j.energy.2018.03.113 ) Courtney, M., Rezgui, Y., Beach, T., Hippolyte, J. and Reynolds, J. 2018. Moving from targeted acquisition to urban area modelling - increasing the scale of point cloud processing . Presented at: International Conference on Engineering, Technology and Innovation (ICE/ITMC), Funchal, Portugal, 27-29 Jun 20172017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) . IEEE pp. 938-946., (10.1109/ICE.2017.8279983 ) 2017 Reynolds, J., Rezgui, Y. and Hippolyte, J. 2017. Upscaling energy control from building to districts: current limitations and future perspectives . Sustainable Cities and Society 35, pp. 816-829. (10.1016/j.scs.2017.05.012 ) Reynolds, J., Hippolyte, J. and Rezgui, Y. 2017. A smart heating set point scheduler using an artificial neural network and genetic algorithm . Presented at: International Conference on Engineering, Technology and Innovation, Funchal, Portugal, 27-29 June 2017IEEE Explore . IEEE pp. 704-710., (10.1109/ICE.2017.8279954 ) 2016 Howell, S. K., Hippolyte, J., Jayan, B., Reynolds, J. and Rezgui, Y. 2016. Web-based 3D urban decision support through intelligent and interoperable services . Presented at: 2016 IEEE International Smart Cities Conference (ISC2), Trento, Italy, 12-15 September 2016Smart Cities Conference (ISC2), 2016 IEEE International . IEEE, (10.1109/ISC2.2016.7580876 ) Ahmad, M., Hippolyte, J., Reynolds, J., Mourshed, M. and Rezgui, Y. 2016. Optimal scheduling strategy for enhancing IAQ, visual and thermal comfort using a genetic algorithm . Presented at: ASHRAE IAQ 2016 Defining Indoor Air Quality: Policy, Standards and Best Practices, Alexandria, VA, USA, 12-14 September 2016. Articles Petri, I., Alzahrani, A., Reynolds, J. and Rezgui, Y. 2020. Federating smart cluster energy grids for peer-to-peer energy sharing and trading . IEEE Access 8(1), pp. 102419-102435. (10.1109/ACCESS.2020.2998747 ) Reynolds, J., Ahmad, M., Rezgui, Y. and Hippolyte, J. 2019. Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm . Applied Energy 235, pp. 699-713. (10.1016/j.apenergy.2018.11.001 ) Ahmad, M., Reynolds, J. and Rezgui, Y. 2018. Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees . Journal of Cleaner Production 203, pp. 810-821. (10.1016/j.jclepro.2018.08.207 ) Reynolds, J., Ahmad, M. and Rezgui, Y. 2018. Holistic modelling techniques for the operational optimisation of multi-vector energy systems . Energy and Buildings 169, pp. 397-416. (10.1016/j.enbuild.2018.03.065 ) Reynolds, J., Rezgui, Y., Kwan, A. and Piriou, S. 2018. A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control . Energy 151, pp. 729-739. (10.1016/j.energy.2018.03.113 ) Reynolds, J., Rezgui, Y. and Hippolyte, J. 2017. Upscaling energy control from building to districts: current limitations and future perspectives . Sustainable Cities and Society 35, pp. 816-829. (10.1016/j.scs.2017.05.012 ) Thesis Conferences Reynolds, J., Ahmad, M. W. and Rezgui, Y. 2018. District heating energy generation optimisation considering thermal storage . Presented at: International Conference on Smart Energy Grid Engineering (IEEE SEGE 2018), Oshawa, ON, Canada, 12-15 August 20182018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) . IEEE pp. 330-335., (10.1109/SEGE.2018.8499509 ) Ahmad, M. W. et al. 2018. A real-time energy management platform for multi-vector district energy systems . Presented at: 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, 17-19 September 2018 Presented at Camarinha-Matos, L. M., Afsarmanesh, H. and Rezgui, Y. eds.Collaborative Networks of Cognitive Systems: 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, September 17-19, 2018, Proceedings Editors (view affiliations) , Vol. 534. IFIP Advances in Information and Communication Technology Cham: Springer Verlag (Germany) pp. 560-568., (10.1007/978-3-319-99127-6_48 ) Courtney, M., Rezgui, Y., Beach, T., Hippolyte, J. and Reynolds, J. 2018. Moving from targeted acquisition to urban area modelling - increasing the scale of point cloud processing . Presented at: International Conference on Engineering, Technology and Innovation (ICE/ITMC), Funchal, Portugal, 27-29 Jun 20172017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) . IEEE pp. 938-946., (10.1109/ICE.2017.8279983 ) Reynolds, J., Hippolyte, J. and Rezgui, Y. 2017. A smart heating set point scheduler using an artificial neural network and genetic algorithm . Presented at: International Conference on Engineering, Technology and Innovation, Funchal, Portugal, 27-29 June 2017IEEE Explore . IEEE pp. 704-710., (10.1109/ICE.2017.8279954 ) Howell, S. K., Hippolyte, J., Jayan, B., Reynolds, J. and Rezgui, Y. 2016. Web-based 3D urban decision support through intelligent and interoperable services . Presented at: 2016 IEEE International Smart Cities Conference (ISC2), Trento, Italy, 12-15 September 2016Smart Cities Conference (ISC2), 2016 IEEE International . IEEE, (10.1109/ISC2.2016.7580876 ) Ahmad, M., Hippolyte, J., Reynolds, J., Mourshed, M. and Rezgui, Y. 2016. Optimal scheduling strategy for enhancing IAQ, visual and thermal comfort using a genetic algorithm . Presented at: ASHRAE IAQ 2016 Defining Indoor Air Quality: Policy, Standards and Best Practices, Alexandria, VA, USA, 12-14 September 2016.