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Associate Professor Archie Chapman
Associate Professor

Archie Chapman

Email: 
Phone: 
+61 7 336 52936

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

Qualifications

  • Bachelor, The University of Queensland
  • Doctor of Philosophy, University of Southampton

Works

Search Professor Archie Chapman’s works on UQ eSpace

108 works between 2004 and 2025

41 - 60 of 108 works

2019

Journal Article

Techno-economic feasibility assessment of grid-defection

Liu, Hangyue, Azuatalam, Donald, Chapman, Archie C. and Verbic, Gregor (2019). Techno-economic feasibility assessment of grid-defection. International Journal of Electrical Power and Energy Systems, 109, 403-412. doi: 10.1016/j.ijepes.2019.01.045

Techno-economic feasibility assessment of grid-defection

2019

Journal Article

Adaptive ADMM for distributed AC optimal power flow

Mhanna, Sleiman, Verbic, Gregor and Chapman, Archie C. (2019). Adaptive ADMM for distributed AC optimal power flow. IEEE Transactions on Power Systems, 34 (3), 2025-2035. doi: 10.1109/tpwrs.2018.2886344

Adaptive ADMM for distributed AC optimal power flow

2019

Journal Article

Computationally efficient market simulation tool for future grid scenario analysis

Riaz, Shariq, Verbic, Gregor and Chapman, Archie C. (2019). Computationally efficient market simulation tool for future grid scenario analysis. IEEE Transactions on Smart Grid, 10 (2) 8080269, 1405-1416. doi: 10.1109/tsg.2017.2765662

Computationally efficient market simulation tool for future grid scenario analysis

2019

Journal Article

PV and demand models for a Markov decision process formulation of the home energy management problem

Keerthisinghe, Chanaka, Chapman, Archie C. and Verbic, Gregor (2019). PV and demand models for a Markov decision process formulation of the home energy management problem. IEEE Transactions on Industrial Electronics, 66 (2) 8402236, 1424-1433. doi: 10.1109/tie.2018.2850023

PV and demand models for a Markov decision process formulation of the home energy management problem

2019

Journal Article

Generic demand model considering the impact of prosumers for future grid scenario analysis

Riaz, Shariq, Marzooghi, Hesamoddin, Verbic, Gregor, Chapman, Archie C. and Hill, David J. (2019). Generic demand model considering the impact of prosumers for future grid scenario analysis. IEEE Transactions on Smart Grid, 10 (1) 8038815, 819-829. doi: 10.1109/tsg.2017.2752712

Generic demand model considering the impact of prosumers for future grid scenario analysis

2019

Conference Publication

Shapley value analysis of distribution network cost-causality pricing

Azuatalam, Donald, Chapman, Archie C. and Verbic, Gregor (2019). Shapley value analysis of distribution network cost-causality pricing. PowerTech, Milan, Italy, 23-27 June 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ptc.2019.8810968

Shapley value analysis of distribution network cost-causality pricing

2019

Conference Publication

Estimating the option value of grid-scale battery systems to distribution network service providers

Ma, Yiju, Verbič, Gregor and Chapman, Archie C. (2019). Estimating the option value of grid-scale battery systems to distribution network service providers. PowerTech 2019, Milan, Italy, 23-27 June 2019. Institute of Electrical and Electronics Engineers. doi: 10.1109/ptc.2019.8810600

Estimating the option value of grid-scale battery systems to distribution network service providers

2019

Conference Publication

Trading arrangements and cost allocation in P2P energy markets on low-voltage networks

Guerrero, Jaysson, Chapman, Archie C. and Verbic, Gregor (2019). Trading arrangements and cost allocation in P2P energy markets on low-voltage networks. IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, United States, 4-8 August 2019. Piscataway, NJ, United States: IEEE. doi: 10.1109/pesgm40551.2019.8973410

Trading arrangements and cost allocation in P2P energy markets on low-voltage networks

2019

Conference Publication

Energy management of buildings with phase change materials based on dynamic programming

Rahimpour, Zahra, Verbic, Gregor and Chapman, Archie C. (2019). Energy management of buildings with phase change materials based on dynamic programming. PowerTech 2019, Milan, Italy, 23-27 June 2019. Institute of Electrical and Electronics Engineers. doi: 10.1109/ptc.2019.8810699

Energy management of buildings with phase change materials based on dynamic programming

2019

Book Chapter

Energizing demand side participation

Verbic, Gregor, Mhanna, Sleiman and Chapman, Archie C. (2019). Energizing demand side participation. Pathways to a smarter power system. (pp. 115-181) edited by Akın Taşcıkaraoğlu. London, United Kingdom: Elsevier. doi: 10.1016/c2017-0-03015-x

Energizing demand side participation

2019

Conference Publication

Local energy markets in LV networks: community based and decentralized P2P approaches

Guerrero, Jaysson, Chapman, Archie C. and Verbič, Gregor (2019). Local energy markets in LV networks: community based and decentralized P2P approaches. PowerTech 2019, Milan, Italy, 23-27 June 2019. Institute of Electrical and Electronics Engineers. doi: 10.1109/ptc.2019.8810588

Local energy markets in LV networks: community based and decentralized P2P approaches

2019

Conference Publication

An engineered empirical Bernstein bound

Burgess, Mark, Chapman, Archie C. and Scott, Paul (2019). An engineered empirical Bernstein bound. European Conference on Machine Learning, Wurzberg, Germany, 16-20 September 2019. Springer. doi: 10.1007/978-3-030-46133-1_6

An engineered empirical Bernstein bound

2019

Journal Article

Energy management of PV-storage systems: policy approximations using machine learning

Keerthisinghe, Chanaka, Chapman, Archie C. and Verbic, Gregor (2019). Energy management of PV-storage systems: policy approximations using machine learning. IEEE Transactions on Industrial Informatics, 15 (1) 8361467, 257-265. doi: 10.1109/tii.2018.2839059

Energy management of PV-storage systems: policy approximations using machine learning

2018

Conference Publication

Techno-economic Analysis of Residential PV-battery Self-consumption

Azuatalam, Donald, Förstl, Markus, Paridari, Kaveh, Ma, Yiju, Chapman, Archie C. and Verbič, Gregor (2018). Techno-economic Analysis of Residential PV-battery Self-consumption. Asia-Pacific Solar Research Conference 2018, Sydney, NSW, Australia, 4-6 December 2018. Sydney, NSW Australia: Australian PV Institute.

Techno-economic Analysis of Residential PV-battery Self-consumption

2018

Journal Article

Component-based dual decomposition methods for the OPF problem

Mhanna, Sleiman, Chapman, Archie C. and Verbic, Gregor (2018). Component-based dual decomposition methods for the OPF problem. Sustainable Energy Grids and Networks, 16, 91-110. doi: 10.1016/j.segan.2018.04.003

Component-based dual decomposition methods for the OPF problem

2018

Journal Article

A framework for assessing renewable integration limits with respect to frequency performance

Ahmadyar, Ahmad Shabir, Riaz, Shariq, Verbic, Gregor, Chapman, Archie and Hill, David J. (2018). A framework for assessing renewable integration limits with respect to frequency performance. IEEE Transactions On Power Systems, 33 (4), 4444-4453. doi: 10.1109/tpwrs.2017.2773091

A framework for assessing renewable integration limits with respect to frequency performance

2018

Journal Article

A fast technique for smart home management: ADP with temporal difference learning

Keerthisinghe, Chanaka, Verbic, Gregor and Chapman, Archie C. (2018). A fast technique for smart home management: ADP with temporal difference learning. IEEE Transactions on Smart Grid, 9 (4), 3291-3303. doi: 10.1109/tsg.2016.2629470

A fast technique for smart home management: ADP with temporal difference learning

2018

Journal Article

A faithful and tractable distributed mechanism for residential electricity pricing

Mhanna, Sleiman, Chapman, Archie C. and Verbic, Gregor (2018). A faithful and tractable distributed mechanism for residential electricity pricing. IEEE Transactions On Power Systems, 33 (4), 4238-4252. doi: 10.1109/tpwrs.2017.2771945

A faithful and tractable distributed mechanism for residential electricity pricing

2018

Conference Publication

The internet of things as a facilitator of smart building services

Gebbran, Daniel, Chapman, Archie C. and Verbic, Gregor (2018). The internet of things as a facilitator of smart building services. 2018 Australasian Universities Power Engineering Conference (AUPEC), Auckland, New Zealand, 27-30 November 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/aupec.2018.8757881

The internet of things as a facilitator of smart building services

2018

Conference Publication

Impacts of community and distributed energy storage systems on unbalanced low voltage networks

Ma, Yiju, Abad, Mohammad Seydali Seyf, Azuatalam, Donald, Verbic, Gregor and Chapman, Archie (2018). Impacts of community and distributed energy storage systems on unbalanced low voltage networks. 2017 Australasian Universities Power Engineering Conference (AUPEC), Melbourne, Australia, 19-22 November 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/aupec.2017.8282460

Impacts of community and distributed energy storage systems on unbalanced low voltage networks

Funding

Current funding

  • 2025 - 2028
    Energy Queensland Community Batteries Project [ARENA project led by Energy Queensland]
    Energy Queensland Limited
    Open grant
  • 2024 - 2029
    ARC Research Hub for Future Digital Manufacturing (ARC ITRP led by Swinburne University of Technology)
    Swinburne University of Technology
    Open grant
  • 2023 - 2025
    Analysis and benchmarking of distribution network operating envelopes
    GridQube Pty Ltd
    Open grant

Past funding

  • 2022 - 2023
    Reclaimed PV panels market assessment
    Energy Consumers Australia Advocacy & Research Grants
    Open grant
  • 2021 - 2022
    Charting farmers' experience of tariff switching and understanding of electricity tariffs to enable better decision making
    Energy Consumers Australia Advocacy & Research Grants
    Open grant

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

    Scaling Towards Solving Realistic Environments with Combined Planning and Learning

    Principal Advisor

  • 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

    Scaling Towards Solving Realistic Environments with Combined Planning and Learning

    Principal Advisor

  • Doctor Philosophy

    Evolving Modular Neural Networks: Investigating the Role of Modularity and Linkage Learning in Neuroevolution

    Associate Advisor

    Other advisors: Associate Professor Marcus Gallagher

  • 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: Dr Allan Hernandez Chanto

  • Doctor Philosophy

    Improving neuroevolution using ideas from deep learning and optimization

    Associate Advisor

    Other advisors: Associate Professor Marcus Gallagher

  • Doctor Philosophy

    Multi-objective optimisation and multi-agent learning for IoT devices.

    Associate Advisor

    Other advisors: Associate Professor Marcus Gallagher

  • 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

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:

communications@uq.edu.au