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
2024
Journal Article
Considerations and design goals for unbalanced optimal power flow benchmarks
Geth, Frederik, Chapman, Archie C., Heidari, Rahmat and Clark, Jordan (2024). Considerations and design goals for unbalanced optimal power flow benchmarks. Electric Power Systems Research, 235 110646, 110646. doi: 10.1016/j.epsr.2024.110646
2023
Journal Article
Multiperiod DER coordination using ADMM-based three-block distributed AC optimal power flow considering inverter Volt-Var control
Gebbran, Daniel, Mhanna, Sleiman, Chapman, Archie C. and Verbic, Gregor (2023). Multiperiod DER coordination using ADMM-based three-block distributed AC optimal power flow considering inverter Volt-Var control. IEEE Transactions on Smart Grid, 14 (4), 2874-2889. doi: 10.1109/tsg.2022.3227635
2023
Conference Publication
Feature extraction for effective and efficient deep reinforcement learning on real robotic platforms
Böhm, Peter, Pounds, Pauline and Chapman, Archie C. (2023). Feature extraction for effective and efficient deep reinforcement learning on real robotic platforms. IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May - 2 June 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icra48891.2023.10160862
2023
Other Outputs
Reclaimed PV Panels Market Assessment Industry Report
Jones, Megan, Chapman, Archie, Jones, Laura and Nunez, Alejandra (2023). Reclaimed PV Panels Market Assessment Industry Report. Brisbane, Australia: The University of Queensland .
2022
Conference Publication
Low-cost real-world implementation of the swing-up pendulum for deep reinforcement learning experiments
Böhm, Peter, Pounds, Pauline and Chapman, Archie C. (2022). Low-cost real-world implementation of the swing-up pendulum for deep reinforcement learning experiments. Australasian Conference on Robotics and Automation (ACRA 2022), Brisbane, QLD Australia, 6-8 December 2022. Australasian Robotics and Automation Association.
2022
Conference Publication
Training directional locomotion for quadrupedal low-cost robotic systems via deep reinforcement learning
Böhm, Peter, Chapman, Archie and Pounds, Pauline (2022). Training directional locomotion for quadrupedal low-cost robotic systems via deep reinforcement learning. Australasian Conference on Robotics and Automation (ACRA 2022) , Brisbane, QLD Australia, 6-8 December 2022. Australasian Robotics and Automation Association.
2022
Conference Publication
Non-blocking asynchronous training for reinforcement learning in real-world environments
Bohm, Peter, Pounds, Pauline and Chapman, Archie C. (2022). Non-blocking asynchronous training for reinforcement learning in real-world environments. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros47612.2022.9981333
2022
Other Outputs
Charting farmers’ experience of tariff switching: prepared in collaboration with Queensland Farmers Federation for Energy Consumers Australia
Snow, Stephen , Balson, Alexander , Chamberlin, Andrew , Clerc, Carolina and Chapman, Archie (2022). Charting farmers’ experience of tariff switching: prepared in collaboration with Queensland Farmers Federation for Energy Consumers Australia. Brisbane, Australia: The University of Queensland. doi: 10.14264/138e511
2022
Journal Article
From green to amber: is Australia's National Electricity Market signalling a financial warning for wind and solar power?
Srianandarajah, Nesanthan, Wilson, Stephen J. and Chapman, Archie C. (2022). From green to amber: is Australia's National Electricity Market signalling a financial warning for wind and solar power?. Energy Policy, 167 113052, 113052. doi: 10.1016/j.enpol.2022.113052
2022
Journal Article
Valuation of compound real options for co-investment in residential battery systems
Ma, Yiju, Chapman, Archie C. and Verbič, Gregor (2022). Valuation of compound real options for co-investment in residential battery systems. Applied Energy, 318 119111, 119111. doi: 10.1016/j.apenergy.2022.119111
2022
Journal Article
Can phase change materials in building insulation improve self-consumption of residential rooftop solar? An Australian case study
Rahimpour, Zahra, Verbič, Gregor and Chapman, Archie C. (2022). Can phase change materials in building insulation improve self-consumption of residential rooftop solar? An Australian case study. Renewable Energy, 192, 24-34. doi: 10.1016/j.renene.2022.04.085
2022
Journal Article
Do solar households want demand response and shared electricity data? Exploring motivation, ability and opportunity in Australia
Snow, Stephen, Chadwick, Kevin, Horrocks, Neil, Chapman, Archie and Glencross, Mashhuda (2022). Do solar households want demand response and shared electricity data? Exploring motivation, ability and opportunity in Australia. Energy Research and Social Science, 87 102480, 1-12. doi: 10.1016/j.erss.2021.102480
2022
Conference Publication
Comparative investigation for robust and efficient distribution system state estimation algorithm: case study considering large network
Islam, Md Naz Niamul and Chapman, Archie C. (2022). Comparative investigation for robust and efficient distribution system state estimation algorithm: case study considering large network. IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) Conference, Brisbane QLD Australia, 5-8 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISGTASIA49270.2021.9715587
2022
Conference Publication
On-demand batteries as a peer-to-peer service
Balson, Alexander, Bean, Richard, Chapman, Archie C., Snow, Stephen, Viller, Stephen, Horrocks, Neil and Glencross, Mashhuda (2022). On-demand batteries as a peer-to-peer service. IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) Conference, Brisbane QLD Australia, 5-8 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISGTASIA49270.2021.9715657
2022
Journal Article
A Shapley value index for market basket analysis: efficient computation using an Harsanyi dividend representation
Fitzsimon, Jayden, Agrawal, Shrikant, Khade, Kirti, Shellshear, Evan, Allport, Jonathon and Chapman, Archie C. (2022). A Shapley value index for market basket analysis: efficient computation using an Harsanyi dividend representation. International Game Theory Review, 24 (4) 2250015, 1-29. doi: 10.1142/S0219198922500153
2021
Journal Article
Evaluating the interdependency between peer-to-peer networks and energy storages: a techno-economic proof for prosumers
Englberger, Stefan, Chapman, Archie C., Tushar, Wayes, Almomani, Tariq, Snow, Stephen, Witzmann, Rolf, Jossen, Andreas and Hesse, Holger (2021). Evaluating the interdependency between peer-to-peer networks and energy storages: a techno-economic proof for prosumers. Advances in Applied Energy, 3 100059, 1-10. doi: 10.1016/j.adapen.2021.100059
2021
Conference Publication
Approximating the Shapley value using stratified empirical Bernstein sampling
Burgess, Mark A. and Chapman, Archie C. (2021). Approximating the Shapley value using stratified empirical Bernstein sampling. International Joint Conference on Artificial Intelligence, Montreal, Canada, 19-26 August 2021. San Francisco, CA, United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2021/11
2021
Journal Article
Probabilistic assessment of impact of flexible loads under network tariffs in low-voltage distribution networks
Azuatalam, Donald, Chapman, Archie C. and Verbic, Gregor (2021). Probabilistic assessment of impact of flexible loads under network tariffs in low-voltage distribution networks. Journal of Modern Power Systems and Clean Energy, 9 (4) 9195103, 951-962. doi: 10.35833/MPCE.2019.000136
2021
Journal Article
Network congestion management: experiences from Bruny Island using residential batteries
Chapman, Archie, Fraser, Andrew, Jones, Laura, Lovell, Heather, Scott, Paul, Thiebaux, Sylvie and Verbic, Gregor (2021). Network congestion management: experiences from Bruny Island using residential batteries. IEEE Power and Energy Magazine, 19 (4) 9461711, 41-51. doi: 10.1109/mpe.2021.3072818
2021
Conference Publication
Optimal energy management strategy for smart home with electric vehicle
Yi, Yu, Verbic, Gregor and Chapman, Archie C. (2021). Optimal energy management strategy for smart home with electric vehicle. 2021 IEEE Madrid PowerTech, Madrid, Spain, 28 June-2 July 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PowerTech46648.2021.9494787
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
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
Scaling Towards Solving Realistic Environments with Combined Planning and Learning
Principal Advisor
-
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
-
Doctor Philosophy
Multi-objective optimisation and multi-agent learning for IoT devices.
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
Doctor Philosophy
Analysis of complex hydrogen energy networks for Australian conditions
Associate Advisor
Other advisors: Dr Yuanshen Lu, Dr Alexander Klimenko
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
Need help?
For help with finding experts, story ideas and media enquiries, contact our Media team: