Artículos con órdenes de acceso público - David BiagioniMás información
No disponibles en ningún lugar: 2
A cyber-physical system for freeway ramp meter signal control using deep reinforcement learning in a connected environment
Y Hou, X Zhang, P Graf, C Tripp, D Biagioni
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
Órdenes: US Department of Energy
optimization of Distribution Feeder Topology: a Differential Programming Learning Approach
D Sigler, D Biagioni, P Emami, A Zamzam, B Knueven
2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023
Órdenes: US Department of Energy
Disponibles en algún lugar: 22
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
Órdenes: US Department of Energy
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
Órdenes: US Department of Energy
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
Órdenes: US National Science Foundation, US Department of Energy
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
Órdenes: US Department of Energy
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
Órdenes: US National Science Foundation, US Department of Energy, US National …
Randomized interpolative decomposition of separated representations
DJ Biagioni, D Beylkin, G Beylkin
Journal of Computational Physics 281, 116-134, 2015
Órdenes: US Department of Energy
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
Órdenes: US Department of Energy
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
Órdenes: US Department of Energy
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
Órdenes: US Department of Energy
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
Órdenes: US Department of Energy
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
Órdenes: US Department of Energy
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
Órdenes: US Department of Energy
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
Órdenes: US National Science Foundation, US Department of Energy
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
Órdenes: US Department of Energy
A comparison of model-free and model predictive control for price responsive water heaters
DJ Biagioni, X Zhang, P Graf, D Sigler, W Jones
Proceedings of the 1st International Workshop on Reinforcement Learning for …, 2020
Órdenes: US Department of Energy
Cooperative load scheduling for multiple aggregators using hierarchical admm
X Zhang, D Biagioni, P Graf, J King
2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020
Órdenes: US Department of Energy
graphenv: a Python library for reinforcement learning on graph search spaces
D Biagioni, CE Tripp, S Clark, D Duplyakin, J Law, PCS John
Journal of Open Source Software 7 (77), 4621, 2022
Órdenes: US Department of Energy
Advanced computing, data science, and artificial intelligence research opportunities for energy-focused transportation science
D Biagioni, J Farrell, V Garikapati, P Graf, N Guba, Y Hou, W Jones, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021
Órdenes: US Department of Energy
La información de publicación y financiación se determina de forma automática mediante un programa informático