| An edge-cloud integrated solution for buildings demand response using reinforcement learning X Zhang, D Biagioni, M Cai, P Graf, S Rahman IEEE Transactions on Smart Grid 12 (1), 420-431, 2020 | 102 | 2020 |
| IGMS: An integrated ISO-to-appliance scale grid modeling system B Palmintier, E Hale, TM Hansen, W Jones, D Biagioni, H Sorensen, ... IEEE Transactions on Smart Grid 8 (3), 1525-1534, 2016 | 80 | 2016 |
| Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries SS SV, JN Law, CE Tripp, D Duplyakin, E Skordilis, D Biagioni, RS Paton, ... Nature Machine Intelligence 4 (8), 720-730, 2022 | 61 | 2022 |
| Learning-accelerated ADMM for distributed DC optimal power flow D Biagioni, P Graf, X Zhang, AS Zamzam, K Baker, J King IEEE Control Systems Letters 6, 1-6, 2020 | 55 | 2020 |
| Synthesis of a mixed-valent tin nitride and considerations of its possible crystal structures CM Caskey, A Holder, S Shulda, ST Christensen, D Diercks, CP Schwartz, ... The Journal of chemical physics 144 (14), 2016 | 41 | 2016 |
| Randomized interpolative decomposition of separated representations DJ Biagioni, D Beylkin, G Beylkin Journal of Computational Physics 281, 116-134, 2015 | 35 | 2015 |
| Transferable reinforcement learning for smart homes X Zhang, X Jin, C Tripp, DJ Biagioni, P Graf, H Jiang Proceedings of the 1st international workshop on reinforcement learning for …, 2020 | 32 | 2020 |
| Powergridworld: A framework for multi-agent reinforcement learning in power systems D Biagioni, X Zhang, D Wald, D Vaidhynathan, R Chintala, J King, ... Proceedings of the thirteenth ACM international conference on future energy …, 2022 | 30 | 2022 |
| Final technical report: Integrated distribution-transmission analysis for very high penetration solar PV B Palmintier, E Hale, TM Hansen, W Jones, D Biagioni, K Baker, H Wu, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2016 | 26 | 2016 |
| Distributed reinforcement learning with ADMM-RL P Graf, J Annoni, C Bay, D Biagioni, D Sigler, M Lunacek, W Jones 2019 American Control Conference (ACC), 4159-4166, 2019 | 25 | 2019 |
| Orthogonal projection to latent structures solution properties for chemometrics and systems biology data DJ Biagioni, DP Astling, P Graf, MF Davis Journal of chemometrics 25 (9), 514-525, 2011 | 24 | 2011 |
| Plug & play directed evolution of proteins with gradient-based discrete MCMC P Emami, A Perreault, J Law, D Biagioni, PS John Machine Learning: Science and Technology 4 (2), 025014, 2023 | 20 | 2023 |
| Two-stage reinforcement learning policy search for grid-interactive building control X Zhang, Y Chen, A Bernstein, R Chintala, P Graf, X Jin, D Biagioni IEEE Transactions on Smart Grid 13 (3), 1976-1987, 2022 | 19 | 2022 |
| Integrated distribution-transmission analysis for very high penetration solar PV (final technical report) B Palmintier, E Hale, T Hansen, W Jones, D Biagioni, K Baker, H Wu, ... National Renewable Energy Laboratory, Golden, CO, NREL/TP-5D00-65550, 2016 | 18 | 2016 |
| On the computational viability of quantum optimization for PMU placement EB Jones, E Kapit, CY Chang, D Biagioni, D Vaidhynathan, P Graf, ... 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 17 | 2020 |
| A modular and transferable reinforcement learning framework for the fleet rebalancing problem E Skordilis, Y Hou, C Tripp, M Moniot, P Graf, D Biagioni IEEE Transactions on Intelligent Transportation Systems 23 (8), 11903-11916, 2021 | 16 | 2021 |
| Western Interconnection flexibility assessment N Schlag, A Olson, E Hart, A Mileva, R Jone, CB Martinez-Anido, ... San Francisco, California: Energy and Environmental Economics, Inc.(E3 …, 2015 | 8 | 2015 |
| Western Interconnection Flexibility Assessment—Final Report N Schlag, A Olson, E Hart, A Mileva, R Jones, ... NREL, 2015 | 8 | 2015 |
| Exploring high-dimensional data space: identifying optimal process conditions in photovoltaics C Suh, D Biagioni, S Glynn, J Scharf, MA Contreras, R Noufi, WB Jones 2011 37th IEEE Photovoltaic Specialists Conference, 000762-000767, 2011 | 6 | 2011 |
| From model-based to model-free: Learning building control for demand response D Biagioni, X Zhang, C Adcock, M Sinner, P Graf, J King arXiv preprint arXiv:2210.10203, 2022 | 5 | 2022 |
Xiangyu Zhang (张翔昱)National Renewable Energy LaboratoryVerified email at nrel.gov