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Personal profile

Biography

As Deputy Director of the Monash Energy Materials and Systems Institute (MEMSI) and Senior Lecturer at Monash’s Faculty of Information Technology, Dr Ariel Liebman leads Monash's Digital Energy initiatives. He brings together researchers from across disciplines such as Data Science, Optimisation and Electrical Engineering to identify ways to integrate new and renewable technologies into the system optimally.

Ariel is an energy markets specialist with 15 years’ experience across all aspects of the electricity supply chain incorporating modelling of deregulated power markets and generation investment planning, network regulation analysis, and commercial retail portfolio energy trading and risk management (ETRM). One of his recent activities is the modeling and simulation of electricity markets using high performance computing platforms such as computing clouds to manage the explosive complexity in analysing future system scenarios to incorporate technology cost uncertainty and policy volatility. Ariel holds a PhD in Physics from the University of Queensland and a Masters in Physics from Auckland University. He has published on various aspects of the electricity industry including impacts of emission trading, real-options investment, and wholesale price forecasting.

Ariel provide insights based on a unique mix of research and commercial experience Dr. Liebman has advised energy utilities across Australia including Energy Australia, United Energy, ERM Power, Ergon Energy, and others. He is therefore able to identify possible research collaboration opportunities that have direct commercial and market relevance.

Ariel also co-leads the Australia Indonesia Centre Energy Cluster directing a $2.8 million research program in Microgrids and Energy System transition modelling to tackle the challenge of integrating distributed storage and renewables into new system planning and investment. He has also been a frequent presenter at conferences over many years on issues ranging from portfolio risk management, carbon pricing and consumer electricity price trends.

Monash teaching commitment

Dr Ariel Liebman has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT2017 Computer models for business decision making
  • FIT5077 e-Business application and development
  • FIT5141 Advanced topics in information technology

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2014 2021

Research Output 1990 2017

  • 9 Article
  • 8 Conference Paper

Fast electrical demand optimization under real-time pricing

He, S., Wallace, M., Wilson, C. & Liebman, A. 2017 Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). Singh, S. & Markovitch, S. (eds.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 4935-4936 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Open Access
File

Short-term residential load forecasting: Impact of calendar effects and forecast granularity

Lusis, P., Khalilpour, K. R., Andrew, L. & Liebman, A. 1 Nov 2017 In : Applied Energy. 205, p. 654-669 16 p.

Research output: Contribution to journalArticleResearchpeer-review

Notes on the anthropology of electricity in context of remote-area electrification projects in Indonesia and other countries

Richter, M., Semedi, P., Liebman, A., Oktaby, N. & Satya, K. 2016 Post-Reformasi Indonesia: the challenges of social inequalities and inclusion: The 6th International Symposium of Journal Antropologi Indonesia, Universitas Indonesia, Depok, West Java, 25-28 July 2016, Proceedings. Purwanto, S. A. (ed.). p. 217-222 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Visual encoding of dissimilarity data via topology-preserving map deformation

Bouts, Q. W., Dwyer, T., Dykes, J., Speckmann, B., Goodwin, S., Riche, N. H., Carpendale, S. & Liebman, A. 1 Sep 2016 In : IEEE Transactions on Visualization and Computer Graphics. 22, 9, p. 2200-2213 14 p., 7328332

Research output: Contribution to journalArticleResearchpeer-review

Modelling RTP-based residential load scheduling for demand response in smart grids

He, S., Liebman, A., Rendl, A., Wallace, M. & Wilson, C. C. 2014 Proceedings of the Thirteenth International Workshop on Constraint Modelling and Reformulation (ModRef 2014). Ansotegui, C. (ed.). Lleida Spain: Universitat de Lleida, p. 36 - 51 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review