Dr Richard Bean

Data Scientist · Senior Energy Market Analyst · Mathematician

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Summary

Data scientist and energy market analyst with more than twenty years' experience across academia, government, and industry. Currently Senior Energy Market Analyst at Energy Exemplar, developing PLEXOS models for the WA, NT, and NEM electricity markets. Previously Research Fellow at UQ's Centre for Energy Data Innovation, with prior positions at AEMO, Redback Technologies, and ROAM Consulting. Published 64 peer-reviewed works spanning energy forecasting, transport analytics and classical cryptography. Winner of the IEEE-CIS international energy forecasting competition.

Contact & profiles

Education

Employment

Senior Energy Market Analyst, Energy Exemplar — September 2024 to present

Research Fellow and Affiliate, University of Queensland — July 2019 to present

Affiliate, University of Newcastle — July 2021 to present

Data Scientist, Redback Technologies — July 2016 to June 2019

Senior Epidemiologist & Senior Research Officer, Queensland Health — July 2015 to June 2016

Advanced Research Officer, Queensland Health — February 2014 to December 2015

Senior Analyst, Australian Energy Market Operator — February 2013 to June 2013

Senior Analyst, ROAM Consulting — April 2007 to December 2012

Research Officer, Institute for Molecular Bioscience, UQ — December 2003 to March 2007

Postdoctoral Associate, Institute for Studies in Theoretical Physics and Mathematics, Tehran — April 2002 to October 2003

Lecturer, Sharif University of Technology, Tehran — 2002 (Semester 2)

Research Assistant & Officer (Statistics), UQ Mathematics — April 2001 to March 2002

Selected publications

Full publications list: see publications page. Highlights include:

  1. C. Bergmeir, F. de Nijs, E. Genov, A. Sriramulu, M. Abolghasemi, R. Bean, et al. (2025). Predict+Optimize Problem in Renewable Energy Scheduling. IEEE Access 13:60064–60087.
  2. R. Bean, D. Pojani and J. Corcoran (2024). Natural barriers facing female cyclists and how to overcome them. Journal of Cycling and Micromobility Research 2:100025.
  3. M. Piorko, S. Lang and R. Bean (2023). Deciphering the Hermeticae Philosophiae Medulla. Ambix 70(2):150–183.
  4. R. Bean (2023). Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge. Energies 16(3):1050.
  5. R. Bean, G. Lasry and F. Weierud (2022). Eavesdropping on the Biafra–Lisbon link — breaking historical ciphers from the Biafran war. Cryptologia 46(1):1–66.
  6. R. Bean, D. Pojani and J. Corcoran (2021). How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones. Journal of Transport Geography 95:103155.
  7. W. Tushar et al. and R. Bean (2020). A coalition formation game framework for peer-to-peer energy trading. Applied Energy 261:114436.
  8. R. Bean et al. (2020). Keeping the power on to home medical devices. PLoS ONE 15(7):e0235068.
  9. G. J. McLachlan, R. Bean and D. Peel (2002). A mixture model-based approach to the clustering of microarray expression data. Bioinformatics 18(3):413–422.

Teaching

Service

Open source & OEIS

Volunteer work