Peter A. Graf

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 22

Top Topics

Optimal Power Flow

Markov Decision Process

Reinforcement Learning

Top Venues

IEEE Trans. Smart Grid

IEEE Control. Syst. Lett.

Publications

David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. Eng. Appl. Artif. Intell. 133 (2024)
Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. IEEE Trans. Smart Grid 13 (3) (2022)
Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Jacob M. Clary, Eric B. Jones, Derek Vigil-Fowler, Christopher Chang, Peter A. Graf
Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules. CoRR (2022)
David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. IEEE Control. Syst. Lett. 6 (2022)
David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King
From Model-Based to Model-Free: Learning Building Control for Demand Response. CoRR (2022)
Jeffery M. Allen, Justin Chang, Francois L. E. Usseglio-Viretta, Peter A. Graf, Kandler A. Smith
A Segregated Approach for Modeling the Electrochemistry in the 3-D Microstructure of Li-Ion Batteries and Its Acceleration Using Block Preconditioners. J. Sci. Comput. 86 (3) (2021)
David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. ACC (2021)
David J. Biagioni, Xiangyu Zhang, Peter A. Graf, Devon Sigler, Wesley B. Jones
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters. CoRR (2021)
Xiangyu Zhang, Dave Biagioni, Mengmeng Cai, Peter A. Graf, Saifur Rahman
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning. IEEE Trans. Smart Grid 12 (1) (2021)
Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. ACC (2021)
Erotokritos Skordilis, Yi Hou, Charles Tripp, Matthew Moniot, Peter A. Graf, David Biagioni
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. CoRR (2021)
Yi Hou, Peter A. Graf
Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning. CoRR (2021)
Yi Hou, Xiangyu Zhang, Peter A. Graf, Charles Tripp, David Biagioni
A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment. ITSC (2021)
Eric B. Jones, Eliot Kapit, Chin-Yao Chang, David Biagioni, Deepthi Vaidhynathan, Peter A. Graf, Wesley B. Jones
On the Computational Viability of Quantum Optimization for PMU Placement. CoRR (2020)
Eric B. Jones, Peter A. Graf, Eliot Kapit, Wesley B. Jones
K-spin Hamiltonian for quantum-resolvable Markov decision processes. Quantum Mach. Intell. 2 (2) (2020)
Eric B. Jones, Peter A. Graf, Eliot Kapit, Wesley B. Jones
K-spin Hamiltonian for quantum-resolvable Markov decision processes. CoRR (2020)
Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. CoRR (2020)
Xiangyu Zhang, Dave Biagioni, Peter A. Graf, Jennifer King
Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. ISGT (2020)
Peter A. Graf, Jennifer Annoni, Christopher J. Bay, David Biagioni, Devon Sigler, Monte Lunacek, Wesley B. Jones
Distributed Reinforcement Learning with ADMM-RL. ACC (2019)
Dave Biagioni, Peter A. Graf, Xiangyu Zhang, Jennifer King
Learning-Accelerated ADMM for Distributed Optimal Power Flow. CoRR (2019)
Peter A. Graf, Stephen C. Billups
MDTri: robust and efficient global mixed integer search of spaces of multiple ternary alloys. Comput. Optim. Appl. 68 (3) (2017)
Stephen C. Billups, Jeffrey Larson, Peter A. Graf
Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression. SIAM J. Optim. 23 (1) (2013)
Monte Lunacek, Ambarish Nag, David M. Alber, Kenny Gruchalla, Christopher H. Chang, Peter A. Graf
Simulation, Characterization, and Optimization of Metabolic Models with the High Performance Systems Biology Toolkit. SIAM J. Sci. Comput. 33 (6) (2011)
Ambarish Nag, Monte Lunacek, Peter A. Graf, Christopher H. Chang
Kinetic modeling and exploratory numerical simulation of chloroplastic starch degradation. BMC Syst. Biol. 5 (2011)
Peter A. Graf, Wesley B. Jones, Kwiseon Kim
A note on the virtual crystal approach to alloy optimization. J. Comput. Phys. 228 (12) (2009)
Daniel Korytina, Kenneth M. Anderson, Peter A. Graf, Wesley B. Jones, Glenn Murray
Ad Hoc Structured Search over Complex, High-Throughput Data Sets, Expressed in a Restructurable, Integrated Form. IKE (2009)
Daniel Korytina, Peter A. Graf, Roger King, Wesley B. Jones
Expressing high-throughput data in a restructurable, integrated form for knowledge extraction. IKE (2008)
Peter A. Graf, Kwiseon Kim, Wesley B. Jones, Lin-Wang Wang
Surface passivation optimization using DIRECT. J. Comput. Phys. 224 (2) (2007)
Peter A. Graf, Wesley B. Jones
A projection based multiscale optimization method for eigenvalue problems. J. Glob. Optim. 39 (2) (2007)