Peter A. Graf

According to our database1, Peter A. Graf authored at least 26 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches.
Eng. Appl. Artif. Intell., 2024

2022
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control.
IEEE Trans. Smart Grid, 2022

A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem.
IEEE Trans. Intell. Transp. Syst., 2022

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.
IEEE Control. Syst. Lett., 2022

From Model-Based to Model-Free: Learning Building Control for Demand Response.
CoRR, 2022

Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules.
CoRR, 2022

2021
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning.
IEEE Trans. Smart Grid, 2021

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., 2021

A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters.
CoRR, 2021

Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning.
CoRR, 2021

A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search.
Proceedings of the 2021 American Control Conference, 2021

2020
K-spin Hamiltonian for quantum-resolvable Markov decision processes.
Quantum Mach. Intell., 2020

On the Computational Viability of Quantum Optimization for PMU Placement.
CoRR, 2020

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
Learning-Accelerated ADMM for Distributed Optimal Power Flow.
CoRR, 2019

Distributed Reinforcement Learning with ADMM-RL.
Proceedings of the 2019 American Control Conference, 2019

2017
MDTri: robust and efficient global mixed integer search of spaces of multiple ternary alloys.
Comput. Optim. Appl., 2017

2013
Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression.
SIAM J. Optim., 2013

2011
Simulation, Characterization, and Optimization of Metabolic Models with the High Performance Systems Biology Toolkit.
SIAM J. Sci. Comput., 2011

Kinetic modeling and exploratory numerical simulation of chloroplastic starch degradation.
BMC Syst. Biol., 2011

2009
A note on the virtual crystal approach to alloy optimization.
J. Comput. Phys., 2009

Ad Hoc Structured Search over Complex, High-Throughput Data Sets, Expressed in a Restructurable, Integrated Form.
Proceedings of the 2009 International Conference on Information & Knowledge Engineering, 2009

2008
Expressing high-throughput data in a restructurable, integrated form for knowledge extraction.
Proceedings of the 2008 International Conference on Information & Knowledge Engineering, 2008

2007
A projection based multiscale optimization method for eigenvalue problems.
J. Glob. Optim., 2007

Surface passivation optimization using DIRECT.
J. Comput. Phys., 2007


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