Giuseppe Pinto, Anjukan Kathirgamanathan, Eleni Mangina, Donal P. Finn, Alfonso Capozzoli (2022) Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures, Applied Energy, DOI: 10.1016/j.apenergy.2021.118497
Anjukan Kathirgamanathan, Eleni Mangina, Donal P. Finn (2021) Development of a Soft Actor Critic deep reinforcement learning approach for harnessing energy flexibility in a Large Office building, Energy and AI, DOI: 10.1016/j.egyai.2021.100101
Clayton Miller, Pandarasamy Arjunan, Anjukan Kathirgamanathan, Chun Fu, Jonathan Roth, June Young Park, Chris Balbach, Krishnan Gowri, Zoltan Nagy, Anthony D. Fontanini & Jeff Haberl (2020) The ASHRAE Great Energy Predictor III competition: Overview and results, Science and Technology for the Built Environment, DOI: 10.1080/23744731.2020.1795514
Anjukan Kathirgamanathan, Mattia De Rosa, Eleni Mangina, Donal P. Finn (2020) Data-driven predictive control for unlocking building energy flexibility: A review, Renewable and Sustainable Energy Reviews, DOI: 10.1016/j.rser.2020.110120
Clayton Miller, Anjukan Kathirgamanathan, Bianca Picchetti, Pandarasamy Arjunan, June Young Park, Zoltan Nagy, Paul Raftery, Brodie W Hobson, Zixiao Shi, Forrest Meggers (2020) The Building Data Genome Project 2: Hourly energy meter data from the ASHRAE Great Energy Predictor III competition, arXiv preprint arXiv:2006.02273
Anjukan Kathirgamanathan, Thibault Péan, Kun Zhang, Mattia De Rosa, Jaume Salom, Michael Kummert, Donal P. Finn (2020) Towards standardising market-independent indicators for quantifying energy flexibility in buildings, Energy and Buildings, DOI: 10.1016/j.enbuild.2020.110027
Anjukan Kathirgamanathan, Eleni Mangina, Donal P. Finn, (2021) Comparison of Data-driven Model-based and Model-free Approaches for Unlocking Building Energy Flexibility, Proceedings of IBPSA BS2019. 1-3 September, 2021, Brugges, Belgium.(paper)
Anjukan Kathirgamanathan, Kacper Twardowski, Eleni Mangina, Donal P. Finn, (2020) A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn, Proceedings of RLEM'20: First Int'l Workshop on Reinforcement Learning for Energy Management in Buildings & Cities. ACM, 2020, Yokohama, Japan.(paper)
Anjukan Kathirgamanathan, Mattia De Rosa, Eleni Mangina, Donal P. Finn, (2019) Data-Driven Predictive Control for Commercial Buildings with Multiple Energy Flexibility Sources, Proceedings of 2020 Building Performance Modeling Conference and SimBuild co-organized by ASHRAE and IBPSA-USA. 29-1 October, 2020, Chicago, USA. (paper)
Anjukan Kathirgamanathan, Mattia De Rosa, Eleni Mangina, Donal P. Finn, (2020) Towards Robustness of Data-Driven Predictive Control for Building Energy Flexibility Applications, Proceedings of IBPSA BSOV2020. 21-22 September, 2020, Loughbourough, UK.(paper)
Anjukan Kathirgamanathan, Mattia De Rosa, Eleni Mangina, Donal P. Finn, (2019) Feature Assessment in Data-driven Models for unlocking Building Energy Flexibility, Proceedings of IBPSA BS2019. 2-4 September, 2019, Rome, Italy.(paper)
Anjukan Kathirgamanathan, Killian Murphy, Mattia De Rosa, Eleni Mangina, Donal P. Finn, (2018) Aggregation of Energy Flexibility of Commercial Buildings, Proceedings of eSim 2018, the 10ᵗʰ conference of IBPSA-Canada Montréal, QC, Canada, May 9-10, 2018 (paper)
