Overview
Background
Dr Archie Chapman is an Associate Professor in Computer Science in the School of IT and Electrical Engineering.
Archie develops and applies principled artificial intelligence, game theory, optimisation and machine learning methods to solve large-scale and dynamic allocation, scheduling and queuing problems. His recent research has focused on applications of these techniques to problems in future power systems, such as integrating large amounts of renewable power generation and using batteries and flexible loads to provide power network and system services, while making best use of legacy network and generation infrastructure.
Prior to joining UQ, Archie was Research Fellow in Smart Grids at the University of Sydney (2011-2019), and a postdoc fellow at the University of Southampton (2009-2010), where he completed his PhD.
Availability
- Associate Professor Archie Chapman is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor, The University of Queensland
- Doctor of Philosophy, University of Southampton
Works
Search Professor Archie Chapman’s works on UQ eSpace
2016
Conference Publication
Assessment of minimum inertia requirement for system frequency stability
Ahmadyar, Ahmad Shabir, Riaz, Shariq, Verbic, Gregor, Riesz, Jenny and Chapman, Archie (2016). Assessment of minimum inertia requirement for system frequency stability. 2016 IEEE International Conference on Power System Technology, POWERCON 2016, Wollongong, NSW Australia, 28 September - 1 October 2016. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/powercon.2016.7753912
2015
Conference Publication
Comparing utility and residential battery storage for increasing flexibility of power systems
Riaz, Shariq, Chapman, Archie C. and Verbic, Gregor (2015). Comparing utility and residential battery storage for increasing flexibility of power systems. 2015 Australasian Universities Power Engineering Conference (AUPEC), Wollongong, NSW Australia, 27-30 September 2015. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/aupec.2015.7324836
2014
Journal Article
Learning in unknown reward games: application to sensor networks
Chapman, Archie C., Leslie, David S., Rogers, Alex and Jennings, Nicholas R. (2014). Learning in unknown reward games: application to sensor networks. Computer Journal, 57 (6), 875-892. doi: 10.1093/comjnl/bxt082
2014
Conference Publication
Towards a realistic implementation of mechanism design in demand response aggregation
Mhanna, Sleiman, Verbič, Gregor and Chapman, Archie C. (2014). Towards a realistic implementation of mechanism design in demand response aggregation. 2014 Power Systems Computation Conference, Wroclaw, Poland, 18-22 August 2014. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/pscc.2014.7038379
2014
Conference Publication
Addressing the stochastic nature of energy management in smart homes
Keerthisinghe, Chanaka, Verbič, Gregor and Chapman, Archie C. (2014). Addressing the stochastic nature of energy management in smart homes. 2014 Power Systems Computation Conference, Wroclaw, Poland, 18-22 August 2014. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/pscc.2014.7038377
2014
Conference Publication
Guidelines for realistic grounding of mechanism design in demand response
Mhanna, Sleiman, Verbic, Gregor and Chapman, Archie C. (2014). Guidelines for realistic grounding of mechanism design in demand response. 2014 Australasian Universities Power Engineering Conference, AUPEC 2014, Perth, WA Australia, 28 September - 1 October 2014. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/aupec.2014.6966545
2014
Conference Publication
Marginal contribution stochastic games for dynamic resource allocation
Chapman, Archie C. and Varakantham, Pradeep (2014). Marginal contribution stochastic games for dynamic resource allocation. PRIMA 2014: Principles and Practice of Multi-Agent Systems, Gold Coast, QLD Australia, 1-5 December 2014. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-13191-7_27
2014
Conference Publication
An investigation into the economic benefits of fast-timescale demand response using thermostatically controlled loads on the NEM
Marinov, Anton K., Verbic, Gregor and Chapman, Archie C. (2014). An investigation into the economic benefits of fast-timescale demand response using thermostatically controlled loads on the NEM. 2014 Australasian Universities Power Engineering Conference (AUPEC2014), Perth, WA, Australia, 28 September - 1 October 2014 . Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/aupec.2014.6966566
2014
Conference Publication
Evaluation of a multi-stage stochastic optimisation framework for energy management of residential PV-storage systems
Keerthisinghe, Chanaka, Verbic, Gregor and Chapman, Archie C. (2014). Evaluation of a multi-stage stochastic optimisation framework for energy management of residential PV-storage systems. 2014 Australasian Universities Power Engineering Conference, AUPEC 2014, Perth, WA Australia, 28 September- 1 October 2014. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/aupec.2014.6966552
2013
Conference Publication
A healthy dose of reality for game-theoretic approaches to residential demand response
Chapman, Archie C., Verbic, Gregor and Hill, David J. (2013). A healthy dose of reality for game-theoretic approaches to residential demand response. 2013 IREP Symposium on Bulk Power System Dynamics and Control, Rethymno, Greece, 25-30 August 2013. doi: 10.1109/irep.2013.6629395
2013
Journal Article
Convergent learning algorithms for unknown reward games
Chapman, Archie C., Leslie, David S., Rogers, Alex and Jennings, Nicholas R. (2013). Convergent learning algorithms for unknown reward games. SIAM Journal on Control and Optimization, 51 (4), 3154-3180. doi: 10.1137/120893501
2012
Conference Publication
Flood disaster mitigation: a real-world challenge problem for multi-agent unmanned surface vehicles
Scerri, Paul, Kannan, Balajee, Velagapudi, Pras, MacArthur, Kate, Stone, Peter, Taylor, Matt, Dolan, John, Farinelli, Alessandro, Chapman, Archie, Dias, Bernadine and Kantor, George (2012). Flood disaster mitigation: a real-world challenge problem for multi-agent unmanned surface vehicles. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2011), Taipei, Taiwan, 2-6 May 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-27216-5_16
2012
Conference Publication
Knapsack based optimal policies for budget-limited multi-armed bandits
Tran-Thanh, Long, Chapman, Archie, Rogers, Alex and Jennings, Nicholas R. (2012). Knapsack based optimal policies for budget-limited multi-armed bandits. 26th AAAI Conference on Artificial Intelligence, Toronto, ON, Canada, 22–26 July 2012. AAAI Press.
2011
Journal Article
A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems
Chapman, Archie C., Rogers, Alex, Jennings, Nicholas R. and Leslie, David S. (2011). A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems. Knowledge Engineering Review, 26 (4), 411-444. doi: 10.1017/s0269888911000178
2011
Journal Article
Benchmarking hybrid algorithms for distributed constraint optimisation games
Chapman, Archie C., Rogers, Alex and Jennings, Nicholas R. (2011). Benchmarking hybrid algorithms for distributed constraint optimisation games. Autonomous Agents and Multi-Agent Systems, 22 (3), 385-414. doi: 10.1007/s10458-010-9128-3
2011
Conference Publication
On the existence of pure strategy Nash equilibria in integer-splittable weighted congestion games
Tran-Thanh, Long, Polukarov, Maria, Chapman, Archie, Rogers, Alex and Jennings, Nicholas R. (2011). On the existence of pure strategy Nash equilibria in integer-splittable weighted congestion games. International Symposium on Algorithmic Game Theory SAGT 2011: Algorithmic Game Theory, Amalfi, Italy, 17-19 October, 2011. doi: 10.1007/978-3-642-24829-0_22
2011
Conference Publication
Filtered fictitious play for perturbed observation potential games and decentralised POMDPs
Chapman, Archie C., Williamson, Simon A. and Jennings, Nicholas R. (2011). Filtered fictitious play for perturbed observation potential games and decentralised POMDPs. 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011, Barcelona, Spain, 14-17 July 2011. Arlington, VA United States: AUAI Press.
2010
Journal Article
Decentralized dynamic task allocation using overlapping potential games
Chapman, Archie C., Micillo, Rosa Anna, Kota, Ramachandra and Jennings, Nicholas R. (2010). Decentralized dynamic task allocation using overlapping potential games. Computer Journal, 53 (9), 1462-1477. doi: 10.1093/comjnl/bxq023
2010
Conference Publication
epsilon-First Policies for Budget-Limited Multi-Armed Bandits
Long, Tran-Thanh, Chapman, Archie, de Cote, Enrique Munoz, Rogers, Alex and Jennings, Nicholas R. (2010). epsilon-First Policies for Budget-Limited Multi-Armed Bandits. 24th AAAI Conference on Artificial Intelligence (AAAI), Atlanta, GA United States, 11-15 July 2010. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence.
2010
Conference Publication
A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria
Chapman, Archie C., Farinelli, Alessandro, de Cote, Enrique Munoz, Rogers, Alex and Jennings, Nicholas R. (2010). A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria. 24th AAAI Conference on Artificial Intelligence (AAAI), Atlanta, GA United States, 11-15 July 2010. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence.
Supervision
Availability
- Associate Professor Archie Chapman is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
-
Electricity market contract design
New contracts for electrical power system servics have the potential to reduce costs by unlocking or harnessing load-side flexibility. The goal of this project is find ways to financially link customer and building load flexibility with wholesale market dispatch, pricing and risk management.
Supervision history
Current supervision
-
Doctor Philosophy
Scaling Towards Solving Realistic Environments with Combined Planning and Learning
Principal Advisor
-
Doctor Philosophy
Coupling Customer Energy Resources and Dynamic Operating Envelopes Towards Firm Energy Solutions
Principal Advisor
Other advisors: Dr Joe Lane
-
Doctor Philosophy
Demand Profile Modeling for Low-Voltage Distribution System
Principal Advisor
Other advisors: Dr Miao Xu
-
Doctor Philosophy
Analysis of complex hydrogen energy networks for Australian conditions
Associate Advisor
Other advisors: Dr Yuanshen Lu, Dr Alexander Klimenko
-
Doctor Philosophy
Improving neuroevolution using ideas from deep learning and optimization
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
Master Philosophy
Essays on electricity market design for the energy transition
Associate Advisor
Other advisors: Professor Flavio Menezes, Dr Allan Hernandez Chanto
-
Doctor Philosophy
Multi-objective optimisation and multi-agent learning for IoT devices.
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
Completed supervision
-
2024
Doctor Philosophy
Training Robust Deep Reinforcement Learning Policies in the Real World
Principal Advisor
Other advisors: Dr Pauline Pounds
-
2022
Doctor Philosophy
Fast and Robust Adaptive State Estimation for Large-scale Integration of Distributed Energy Resources
Principal Advisor
Media
Enquiries
Contact Associate Professor Archie Chapman directly for media enquiries about:
- Battery energy storage
- Electricity markets
- Home energy management
- Rooftop PV
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