Dr Archie Chapman

Phd (Computer Science), B.Econ, B.A.
Research Fellow in Smart Grids
School of Electrical and Information Engineering

J03 - Electrical Engineering Building
The University of Sydney

Telephone +61 2 8627 0386

Website Centre for Future Energy Networks

School of Electrical and Information Engineering

Biographical details

Dr Archie Chapman completed a B.A. and B. Econ (Hons) at the University of Queensland in 2003 and 2004, respectively, before working as an economist in the Queensland Public Service. In 2006 he joined Electronics and Computer Science at the University of Southampton, under the supervision of Nick Jennings and Alex Rogers at Southampton, and David Leslie at the University of Bristol. During his PhD and subsequent post-doctoral fellowship, he investigated game-theoretic and reinforcement learning techniques for optimisation and control in large distributed systems. He returned to Australia in 2011 to complete a Postdoctoral Fellowship with the Discipline of Business Analytics (previously Operations Management and Econometrics) at the University of Sydney. In mid-2012 he commenced working as Research Fellow in Smart Grids in the Centre for Future Energy Networks in the School of Electrical and Information Engineering.

Follow Archie's research blog.

Research interests

Dr Archie Chapman is trying to reduce our power bills. His research focuses on maximising the efficient use of our existing energy networks to avoid costly investment in network expansion - which makes up a huge proportion of our power costs.

"The aim of my research is to make electricity as cheap as possible for customers, by making better use of the resources we already have in place and integrating new ones in the best way possible.

"We have a fairly cost-efficient fleet of power generators in Australia, so my research focuses on networks, the transmission and distribution grids, which are the other big cost in delivering electricity to users.

"Network costs currently make up about half of electricity costs, and a further $1 trillion of network expenditure has been forecast for the next 35 years. I believe this is avoidable by using a mix of existing and new technologies to lessen the need for new network capacity.

"A power grid is like a network of roads, transporting energy from where it is generated to where it is needed. The big difference arises when they become congested. When there are more cars on a road you get stuck in traffic, which is unpleasant but not disastrous for you or the road. When a power grid is congested you either damage some very expensive equipment or you have a blackout. For this reason, power grids are built to handle much more than their typical loads.

"I am trying to show how we can relieve congestion and make better use of our existing networks, thus avoiding network expansion and reducing our electricity costs. The other major benefit is being able to integrate large amounts of renewable energy from wind and solar sources.

"I've been working at the University of Sydney since 2011. Working here has given me connections to some of the best in the industry and research communities, both within Australia and internationally."

Current research students

Project title Research student
Aggregated Demand Response Modelling for Future Grid Scenario and its Impact on Electricity Market Shariq RIAZ

In the media

Selected grants

2016

  • User modelling and distributed optimisation for wide-area HVAC control; Chapman A, Ramchurn S; DVC Research/International Research Collaboration Award (IRCA).

Selected publications

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Journals

  • Mhanna, S., Verbic, G., Chapman, A. (2016). A Faithful Distributed Mechanism for Demand Response Aggregation. IEEE Transactions on Smart Grid, 7(3), 1743-1753. [More Information]
  • Chapman, A., Verbic, G., Hill, D. (2016). Algorithmic and Strategic Aspects to Integrating Demand-Side Aggregation and Energy Management Methods [In press]. IEEE Transactions on Smart Grid. [More Information]
  • Chapman, A., Verbic, G. (2016). An Iterative On-Line Auction Mechanism for Aggregated Demand-Side Participation [In Press]. IEEE Transactions on Smart Grid. [More Information]
  • Chapman, A., Leslie, D., Rogers, A., Jennings, N. (2014). Learning in Unknown Reward Games: Application to Sensor Networks. The Computer Journal, 57(6), 875-892. [More Information]
  • Chapman, A., Leslie, D., Rogers, A., Jennings, N. (2013). Convergent Learning Algorithms for Unknown Reward Games. SIAM Journal on Control and Optimization, 51(4), 3154-3180. [More Information]
  • Scerri, P., Kannan, B., Velagapudi, P., MacArthur, K., Stone, P., Taylor, M., Dolan, J., Farinelli, A., Chapman, A., Dias, B., et al (2012). Flood disaster mitigation: A real-world challenge problem for multi-agent unmanned surface vehicles. Lecture Notes in Computer Science (LNCS), 7068, 252-269.
  • Chapman, A., Rogers, A., Jennings, N., Leslie, D. (2011). A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems. Knowledge Engineering Review, 26(4), 411-444. [More Information]
  • Chapman, A., Rogers, A., Jennings, N. (2011). Benchmarking hybrid algorithms for distributed constraint optimisation games. Autonomous Agents and Multi-agent Systems, 22(3), 385-414. [More Information]
  • Chapman, A., Micillo, R., Kota, R., Jennings, N. (2010). Decentralized Dynamic Task Allocation Using Overlapping Potential Games. The Computer Journal, 53(9), 1462-1477. [More Information]

Conferences

  • Keerthisinghe, C., Verbic, G., Chapman, A. (2016). Energy management of PV-storage systems: ADP approach with temporal difference learning. 19th Power Systems Computation Conference (PSCC 2016), Dublin, Ireland: Electricity Research Centre (ERC).
  • Riaz, S., Chapman, A., Verbic, G. (2016). Evaluation of Concentrated Solar-Thermal Generation for Provision of Power System Flexibility. 19th Power Systems Computation Conference (PSCC 2016), Dublin, Ireland: Electricity Research Centre (ERC).
  • Mhanna, S., Verbic, G., Chapman, A. (2016). Tight LP Approximations for the Optimal Power Flow Problem. 19th Power Systems Computation Conference (PSCC 2016), Dublin, Ireland: Electricity Research Centre (ERC).
  • Riaz, S., Chapman, A., Verbic, G. (2015). Comparing utility and residential battery storage for increasing flexibility of power systems. 25th Australasian Universities Power Engineering Conference (AUPEC 2015), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Keerthisinghe, C., Verbic, G., Chapman, A. (2014). Addressing the stochastic nature of energy management in smart homes. 18th Power Systems Computation Conference PSCC2014, Piscataway, USA: IEEE. [More Information]
  • Marinov, A., Verbic, G., Chapman, A. (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 (AUPEC), United States: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Keerthisinghe, C., Verbic, G., Chapman, A. (2014). Evaluation of a multi-stage stochastic optimisation framework for energy management of residential PV-storage systems. 2014 Australasian Universities Power Engineering Conference (AUPEC), United States: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Mhanna, S., Verbic, G., Chapman, A. (2014). Guidelines for realistic grounding of mechanism design in demand response. 2014 Australasian Universities Power Engineering Conference (AUPEC), United States: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Chapman, A., Varakantham, P. (2014). Marginal contribution stochastic games for dynamic resource allocation. 17th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2014). Springer.
  • Mhanna, S., Verbic, G., Chapman, A. (2014). Towards a realistic implementation of mechanism design in demand response aggregation. 18th Power Systems Computation Conference PSCC2014, Piscataway, USA: IEEE. [More Information]
  • Chapman, A., Verbic, G., Hill, D. (2013). A healthy dose of reality for game-theoretic approaches to residential demand response. Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid (IREP 2013), Piscataway, NJ: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Tran-Thanh, L., Chapman, A., Rogers, A., Jennings, N. (2012). Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits. 26th AAAI Conference on Artificial Intelligence AAAI 2012, Palo Alto: Association for the Advancement of Artificial Intelligence.
  • Chapman, A., Williamson, S., Jennings, N. (2011). Filtered Fictitious Play for Perturbed Observation Potential Games and Decentralised POMDPs. 27th Conference on Uncertainty in Artificial Intelligence UAI 2011, United States: AUAI Press.
  • Tran-Thanh, L., Polukarov, M., Chapman, A., Rogers, A., Jennings, N. (2011). On the Existence of Pure Strategy Nash Equilibria in Integer–Splittable Weighted Congestion Games. 4th Symposium on Algorithmic Game Theory, SAGT 2011, Heidelberg, Germany: Springer Verlag. [More Information]
  • Chapman, A., Farinelli, A., de Cote, E., Rogers, A., Jennings, N. (2010). A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria. 24th AAAI Conference on Artificial Intelligence 2010, Atlanta: Association for the Advancement of Artificial Intelligence.
  • de Cote, E., Chapman, A., Sykulski, A., Jennings, N. (2010). Automated Planning in Repeated Adversarial Games. 26th Conference on Uncertainty in Artificial Intelligence UAI 2010, USA: AUAI Press.
  • Sykulski, A., Chapman, A., de Cote, E., Jennings, N. (2010). EA2: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament. 19th European Conference on Artificial Intelligence ECAI 2010, Amsterdam: IOS Press. [More Information]
  • Tran-Thanh, L., Chapman, A., de Cote, E., Rogers, A., Jennings, N. (2010). Epsilon-First Policies for Budget-Limited Multi-Armed Bandits. 24th AAAI Conference on Artificial Intelligence 2010, Atlanta: Association for the Advancement of Artificial Intelligence.
  • Williamson, S., Chapman, A., Jennings, N. (2010). Information gathering and exchange for coordination of multi-agent teams. 9th International Conference on Autonomous Agents and Multi-Agent Systems AAMAS-10, New York: Association for Computing Machinery (ACM).
  • Williamson, S., Chapman, A., Jennings, N. (2010). Valuing Search and Communication in Partially-Observable Coordination Problems. 9th International Conference on Autonomous Agents and Multi-Agent Systems AAMAS-10, New York: Association for Computing Machinery (ACM).
  • Chapman, A., Micillo, R., Kota, R., Jennings, N. (2009). Decentralised Dynamic Task Allocation: A Practical Game-Theoretic Approach. 8th International Conference on Autonomous Agents and Multi-Agent Systems AAMAS-09, New York: Association for Computing Machinery (ACM).
  • Chapman, A., Rogers, A., Jennings, N. (2008). A Parameterisation of Algorithms for Distributed Constraint Optimisation via Potential Games. 10th International Workshop on Distributed Constraint Reasoning DCR-2008, Estoril, Portugal: International Foundation for Autonomous Agents and Multi-Agent Systems.
  • Chapman, A., Rogers, A., Jennings, N. (2008). Benchmarking Hybrid Algorithms for Distributed Constraint Optimisation Games. 1st International Workshop on Optimisation in Multi-Agent Systems OptMAS-08.
  • Chapman, A., Rogers, A., Jennings, N. (2008). Learn while you earn: Two approaches to learning auction parameters in take-it-or-leave-it auctions. 7th International Conference on Autonomous Agents and Multi-Agent Systems AAMAS-2008, Estoril, Portugal: Association for Computing Machinery (ACM).

2016

  • Mhanna, S., Verbic, G., Chapman, A. (2016). A Faithful Distributed Mechanism for Demand Response Aggregation. IEEE Transactions on Smart Grid, 7(3), 1743-1753. [More Information]
  • Chapman, A., Verbic, G., Hill, D. (2016). Algorithmic and Strategic Aspects to Integrating Demand-Side Aggregation and Energy Management Methods [In press]. IEEE Transactions on Smart Grid. [More Information]
  • Chapman, A., Verbic, G. (2016). An Iterative On-Line Auction Mechanism for Aggregated Demand-Side Participation [In Press]. IEEE Transactions on Smart Grid. [More Information]
  • Keerthisinghe, C., Verbic, G., Chapman, A. (2016). Energy management of PV-storage systems: ADP approach with temporal difference learning. 19th Power Systems Computation Conference (PSCC 2016), Dublin, Ireland: Electricity Research Centre (ERC).
  • Riaz, S., Chapman, A., Verbic, G. (2016). Evaluation of Concentrated Solar-Thermal Generation for Provision of Power System Flexibility. 19th Power Systems Computation Conference (PSCC 2016), Dublin, Ireland: Electricity Research Centre (ERC).
  • Mhanna, S., Verbic, G., Chapman, A. (2016). Tight LP Approximations for the Optimal Power Flow Problem. 19th Power Systems Computation Conference (PSCC 2016), Dublin, Ireland: Electricity Research Centre (ERC).

2015

  • Riaz, S., Chapman, A., Verbic, G. (2015). Comparing utility and residential battery storage for increasing flexibility of power systems. 25th Australasian Universities Power Engineering Conference (AUPEC 2015), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

2014

  • Keerthisinghe, C., Verbic, G., Chapman, A. (2014). Addressing the stochastic nature of energy management in smart homes. 18th Power Systems Computation Conference PSCC2014, Piscataway, USA: IEEE. [More Information]
  • Marinov, A., Verbic, G., Chapman, A. (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 (AUPEC), United States: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Keerthisinghe, C., Verbic, G., Chapman, A. (2014). Evaluation of a multi-stage stochastic optimisation framework for energy management of residential PV-storage systems. 2014 Australasian Universities Power Engineering Conference (AUPEC), United States: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Mhanna, S., Verbic, G., Chapman, A. (2014). Guidelines for realistic grounding of mechanism design in demand response. 2014 Australasian Universities Power Engineering Conference (AUPEC), United States: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Chapman, A., Leslie, D., Rogers, A., Jennings, N. (2014). Learning in Unknown Reward Games: Application to Sensor Networks. The Computer Journal, 57(6), 875-892. [More Information]
  • Chapman, A., Varakantham, P. (2014). Marginal contribution stochastic games for dynamic resource allocation. 17th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2014). Springer.
  • Mhanna, S., Verbic, G., Chapman, A. (2014). Towards a realistic implementation of mechanism design in demand response aggregation. 18th Power Systems Computation Conference PSCC2014, Piscataway, USA: IEEE. [More Information]

2013

  • Chapman, A., Verbic, G., Hill, D. (2013). A healthy dose of reality for game-theoretic approaches to residential demand response. Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid (IREP 2013), Piscataway, NJ: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Chapman, A., Leslie, D., Rogers, A., Jennings, N. (2013). Convergent Learning Algorithms for Unknown Reward Games. SIAM Journal on Control and Optimization, 51(4), 3154-3180. [More Information]

2012

  • Scerri, P., Kannan, B., Velagapudi, P., MacArthur, K., Stone, P., Taylor, M., Dolan, J., Farinelli, A., Chapman, A., Dias, B., et al (2012). Flood disaster mitigation: A real-world challenge problem for multi-agent unmanned surface vehicles. Lecture Notes in Computer Science (LNCS), 7068, 252-269.
  • Tran-Thanh, L., Chapman, A., Rogers, A., Jennings, N. (2012). Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits. 26th AAAI Conference on Artificial Intelligence AAAI 2012, Palo Alto: Association for the Advancement of Artificial Intelligence.

2011

  • Chapman, A., Rogers, A., Jennings, N., Leslie, D. (2011). A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems. Knowledge Engineering Review, 26(4), 411-444. [More Information]
  • Chapman, A., Rogers, A., Jennings, N. (2011). Benchmarking hybrid algorithms for distributed constraint optimisation games. Autonomous Agents and Multi-agent Systems, 22(3), 385-414. [More Information]
  • Chapman, A., Williamson, S., Jennings, N. (2011). Filtered Fictitious Play for Perturbed Observation Potential Games and Decentralised POMDPs. 27th Conference on Uncertainty in Artificial Intelligence UAI 2011, United States: AUAI Press.
  • Tran-Thanh, L., Polukarov, M., Chapman, A., Rogers, A., Jennings, N. (2011). On the Existence of Pure Strategy Nash Equilibria in Integer–Splittable Weighted Congestion Games. 4th Symposium on Algorithmic Game Theory, SAGT 2011, Heidelberg, Germany: Springer Verlag. [More Information]

2010

  • Chapman, A., Farinelli, A., de Cote, E., Rogers, A., Jennings, N. (2010). A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria. 24th AAAI Conference on Artificial Intelligence 2010, Atlanta: Association for the Advancement of Artificial Intelligence.
  • de Cote, E., Chapman, A., Sykulski, A., Jennings, N. (2010). Automated Planning in Repeated Adversarial Games. 26th Conference on Uncertainty in Artificial Intelligence UAI 2010, USA: AUAI Press.
  • Chapman, A., Micillo, R., Kota, R., Jennings, N. (2010). Decentralized Dynamic Task Allocation Using Overlapping Potential Games. The Computer Journal, 53(9), 1462-1477. [More Information]
  • Sykulski, A., Chapman, A., de Cote, E., Jennings, N. (2010). EA2: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament. 19th European Conference on Artificial Intelligence ECAI 2010, Amsterdam: IOS Press. [More Information]
  • Tran-Thanh, L., Chapman, A., de Cote, E., Rogers, A., Jennings, N. (2010). Epsilon-First Policies for Budget-Limited Multi-Armed Bandits. 24th AAAI Conference on Artificial Intelligence 2010, Atlanta: Association for the Advancement of Artificial Intelligence.
  • Williamson, S., Chapman, A., Jennings, N. (2010). Information gathering and exchange for coordination of multi-agent teams. 9th International Conference on Autonomous Agents and Multi-Agent Systems AAMAS-10, New York: Association for Computing Machinery (ACM).
  • Williamson, S., Chapman, A., Jennings, N. (2010). Valuing Search and Communication in Partially-Observable Coordination Problems. 9th International Conference on Autonomous Agents and Multi-Agent Systems AAMAS-10, New York: Association for Computing Machinery (ACM).

2009

  • Chapman, A., Micillo, R., Kota, R., Jennings, N. (2009). Decentralised Dynamic Task Allocation: A Practical Game-Theoretic Approach. 8th International Conference on Autonomous Agents and Multi-Agent Systems AAMAS-09, New York: Association for Computing Machinery (ACM).

2008

  • Chapman, A., Rogers, A., Jennings, N. (2008). A Parameterisation of Algorithms for Distributed Constraint Optimisation via Potential Games. 10th International Workshop on Distributed Constraint Reasoning DCR-2008, Estoril, Portugal: International Foundation for Autonomous Agents and Multi-Agent Systems.
  • Chapman, A., Rogers, A., Jennings, N. (2008). Benchmarking Hybrid Algorithms for Distributed Constraint Optimisation Games. 1st International Workshop on Optimisation in Multi-Agent Systems OptMAS-08.
  • Chapman, A., Rogers, A., Jennings, N. (2008). Learn while you earn: Two approaches to learning auction parameters in take-it-or-leave-it auctions. 7th International Conference on Autonomous Agents and Multi-Agent Systems AAMAS-2008, Estoril, Portugal: Association for Computing Machinery (ACM).

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