Dr Fanny Boulaire
This person does not currently hold a position at QUT.
Personal details
Keywords
Agent-Based Modelling, Statistical Modelling, Modelling and Simulation
Research field
Other engineering, Other information and computing sciences, Software engineering
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD (Queensland University of Technology)
- Master of Engineering
Professional memberships and associations
Member of the Association for Computing Machinery (ACM) and the Specialist Interest groups on Simulation and Modelling (SIGSIM) Member of the Association for Computing Machinery (ACM) and the Specialist Interest groups on Software Engineering (SIGSOFT) Member of the Modelling & Simulation Society of Australia and New Zealand (MSSANZ)
Teaching
Project Supervision
Capstone Projects (groups, bachelor of electrical engineering)
- 2018 - "Electricity tariff design based on tariffs used in the telecommunication sector"
- 2017 / 2018 - "Impact of heatwave on electricity consumption and investigation rooftop solar panels as an option to reduce peak demand" - Data analysis at three levels of detail: individual households, zone substation and state level
- 2017 - "Impact of customer engagement on electricity consumption" - Quantification of changes in behaviour through electricity consumption data analysis
- 2016 - "Energy management in microgrid using hybrid renewable energy for housing in Australia"
Masters by coursework projects (individual, master of Engineering Management)
- 2017 - "Retrofitting an outdated building for sustainability using HVAC modelling"
- 2016 - "Home energy management systems, battery, rooftop photovoltaics? What is their value and for who?"
Publications
- Boulaire, F., Utting, M. & Drogemuller, R. (2015). Dynamic agent composition for large-scale agent-based models. Complex Adaptive Systems Modeling, 3, 1–23. https://eprints.qut.edu.au/82557
- Boulaire, F., Utting, M. & Drogemuller, R. (2015). Impact of technology uptake on an Australian electricity distribution network. Environmental Modelling and Software, 69, 196–213. https://eprints.qut.edu.au/83009
- Drogemuller, R., Boulaire, F., Ledwich, G., Buys, L., Utting, M., Vine, D., Morris, P. & Arefi, A. (2015). Aggregating energy supply and demand. eWork and eBusiness in Architecture, Engineering and Construction, 425–430. https://eprints.qut.edu.au/78488
- Boulaire, F., Higgins, A., Foliente, G. & McNamara, C. (2014). Statistical modelling of district-level residential electricity use in NSW, Australia. Sustainability Science, 9(1), 77–88. https://eprints.qut.edu.au/68319
- Boulaire, F., Utting, M. & Drogemuller, R. (2014). Parallel ABM for electricity distribution grids: a case study. Euro-Par 2013: Parallel Processing Workshops: BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Revised Selected Papers [Lecture Notes in Computer Science, Volume 8374], 565–574. https://eprints.qut.edu.au/63508
- Boulaire, F., Utting, M. & Drogemuller, R. (2013). MODAM: A MODular agent-based modelling framework. Proceedings of the 2nd International Workshop on Software Engineering Challenges for the Smart Grid, 33–40. https://eprints.qut.edu.au/63507
- Boulaire, F., Utting, M., Drogemuller, R., Ledwich, G. & Ziari, I. (2012). A hybrid simulation framework to assess the impact of renewable generators on a distribution network. Proceedings of the 2012 Winter Simulation Conference, 1–12. https://eprints.qut.edu.au/56372
- Boulaire, F., Utting, M., Drogemuller, R., Abeygunawardana, A., Ledwich, G. & Bell, J. (2012). Planning for the impact of distributed solar energy on the grid. Proceedings of the 50th Annual Solar Conference 2012, 1–10. https://eprints.qut.edu.au/56377
- Gould, S., Boulaire, F., Burn, S., Zhao, X. & Kodikara, J. (2011). Seasonal factors influencing the failure of buried water reticulation pipes. Water Science and Technology, 63(11), 2692–2699. https://eprints.qut.edu.au/75298
- Marlow, D., Boulaire, F., Beale, D., Grundy, C. & Moglia, M. (2011). Sewer performance reporting: Factors that influence blockages. Journal of Infrastructure Systems, 17(1), 42–51. https://eprints.qut.edu.au/75299
QUT ePrints
For more publications by Fanny, explore their research in QUT ePrints (our digital repository).