Dr Richard Bean is working at the Centre for Energy Data Innovation. The Centre for Energy Data Innovation undertakes research using near real-time big data from low voltage electricity networks.
The centre is partnering with Redback Technologies/Luceo, Energy Queensland, and other entities to unlock new insights into electricity networks using IoT technology at a neighbourhood level. Richard has extensive experience in data science gained through working in academia in Australia and Iran, for government (Queensland Health) and industry (ROAM Consulting and the Australian Energy Market Operator). He has more than 40 publications in areas including combinatorics, statistics, power systems, and transport.
Outside of his academic work - although with some overlap - Richard enjoys cycling, cycling advocacy, and classical cryptography challenges.
At the Centre for Energy Data Innovation, experts in Electrical Engineering, Data Science and Interaction Design are working together to provide network operators with improved understanding of the rapidly changing landscape of local electricity generation and storage.
Richard's research at CEDI helps network operators to perform phase identification accurately and a low cost; and to use short and long term weather forecasts to predict solar and household energy usage at an aggregate level, which enables the efficient operation of a distribution network and operation of virtual power plants (VPPs) and embedded networks with batteries.
Previously, his research has focussed on areas as diverse as the combinatorics of Latin squares and designs, statistics (the analysis of gene microarray expression data, and clustering techniques), power systems analysis (scheduling battery charging using energy forecasting, and reserve planning in the Austrralian NEM), and transport (the effect of weather and land-use on bike share demand in cities across the world).
Journal Article: Deciphering the Hermeticae Philosophiae Medulla: textual cultures of alchemical secrecy
Piorko, Megan, Lang, Sarah and Bean, Richard (2023). Deciphering the Hermeticae Philosophiae Medulla: textual cultures of alchemical secrecy. Ambix, ahead-of-print (ahead-of-print), 1-34. doi: 10.1080/00026980.2023.2201744
Journal Article: Forecasting the Monash microgrid for the IEEE-CIS technical challenge
Bean, Richard (2023). Forecasting the Monash microgrid for the IEEE-CIS technical challenge. Energies, 16 (3) 1050, 1-23. doi: 10.3390/en16031050
Book Chapter: Preserving the privacy and cybersecurity of home energy data
Bean, Richard, Zhang, Yanjun, Ko, Ryan K. L., Mao, Xinyu and Bai, Guangdong (2023). Preserving the privacy and cybersecurity of home energy data. Emerging trends in cybersecurity applications. (pp. 323-343) edited by Kevin Daimi, Abeer Alsadoon, Cathryn Peoples and Nour El Madhoun. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-09640-2_14
Preserving the privacy and cybersecurity of home energy data
Bean, Richard, Zhang, Yanjun, Ko, Ryan K. L., Mao, Xinyu and Bai, Guangdong (2023). Preserving the privacy and cybersecurity of home energy data. Emerging trends in cybersecurity applications. (pp. 323-343) edited by Kevin Daimi, Abeer Alsadoon, Cathryn Peoples and Nour El Madhoun. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-09640-2_14
Docked and dockless public bike-sharing schemes: research, practice and discourse
Pojani, Dorina, Chen, Jiashuo, Mateo-Babiano, Iderlina, Bean, Richard and Corcoran, Jonathan (2020). Docked and dockless public bike-sharing schemes: research, practice and discourse. Handbook of sustainable transport. (pp. 129-138) edited by Carey Cutis. Cheltenham, Glos, United Kingdom: Edward Elgar Publishing. doi: 10.4337/9781789900477.00025
McLachlan, G. J., Bean, R. W. and Ng, S. K. (2017). Clustering. Bioinformatics Vol. II: Structure, Function, and Applications. (pp. 345-362) edited by Jonathan M. Keith. New York, NY, United States: Humana Press. doi: 10.1007/978-1-4939-6613-4_19
McLachlan, G. J., Bean, R. W. and Ng, S.-K. (2008). Clustering. Bioinformatics, volume 2: Structure, function and applications. (pp. 423-439) edited by J. M. Keith. New Jersey, United States: Humana Press. doi: 10.1007/978-1-60327-429-6_22
Clustering of microarray data via mixture models
McLachlan, Geoffrey J., Ng, Angus and Bean, Richard W. (2008). Clustering of microarray data via mixture models. Statistical advances in the biomedical sciences: clinical trials, epidemiology, survival analysis, and bioinformatics. (pp. 365-383) edited by Atanu Biswas, Sujay Datta, Jason P. Fine and Mark R. Segal. Hoboken, NJ, United States: John Wiley & Sons. doi: 10.1002/9780470181218.ch21
Deciphering the Hermeticae Philosophiae Medulla: textual cultures of alchemical secrecy
Piorko, Megan, Lang, Sarah and Bean, Richard (2023). Deciphering the Hermeticae Philosophiae Medulla: textual cultures of alchemical secrecy. Ambix, ahead-of-print (ahead-of-print), 1-34. doi: 10.1080/00026980.2023.2201744
Forecasting the Monash microgrid for the IEEE-CIS technical challenge
Bean, Richard (2023). Forecasting the Monash microgrid for the IEEE-CIS technical challenge. Energies, 16 (3) 1050, 1-23. doi: 10.3390/en16031050
Weather to scoot? How weather shapes shared e-scooter ridership patterns
Kimpton, Anthony, Loginova, Julia, Pojani, Dorina, Bean, Richard, Sigler, Thomas and Corcoran, Jonathan (2022). Weather to scoot? How weather shapes shared e-scooter ridership patterns. Journal of Transport Geography, 104 103439, 1-10. doi: 10.1016/j.jtrangeo.2022.103439
How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones
Bean, Richard , Pojani, Dorina and Corcoran, Jonathan (2021). How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones. Journal of Transport Geography, 95 103155, 103155. doi: 10.1016/j.jtrangeo.2021.103155
Drivers behind residential electricity demand fluctuations due to COVID-19 restrictions
Snow, Stephen, Bean, Richard, Glencross, Mashhuda and Horrocks, Neil (2020). Drivers behind residential electricity demand fluctuations due to COVID-19 restrictions. Energies, 13 (21) 5738, 1-20. doi: 10.3390/en13215738
Keeping the power on to home medical devices
Bean, Richard, Snow, Stephen, Glencross, Mashhuda, Viller, Stephen and Horrocks, Neil (2020). Keeping the power on to home medical devices. PloS One, 15 (7) e0235068, e0235068. doi: 10.1371/journal.pone.0235068
Eavesdropping on the Biafra-Lisbon link – breaking historical ciphers from the Biafran war
Bean, Richard W., Lasry, George and Weierud, Frode (2020). Eavesdropping on the Biafra-Lisbon link – breaking historical ciphers from the Biafran war. Cryptologia, 46 (1), 1-66. doi: 10.1080/01611194.2020.1762261
A coalition formation game framework for peer-to-peer energy trading
Tushar, Wayes, Saha, Tapan Kumar, Yuen, Chau, Azim, M. Imran, Morstyn, Thomas, Poor, H. Vincent, Niyato, Dustin and Bean, Richard (2020). A coalition formation game framework for peer-to-peer energy trading. Applied Energy, 261 114436. doi: 10.1016/j.apenergy.2019.114436
Grid influenced peer-to-peer energy trading
Tushar, Wayes, Saha, Tapan Kumar, Yuen, Chau, Morstyn, Thomas, Nahid-Al-Masood, Poor, H. Vincent and Bean, Richard (2020). Grid influenced peer-to-peer energy trading. IEEE Transactions on Smart Grid, 11 (2) 8818368, 1407-1418. doi: 10.1109/tsg.2019.2937981
Bean, Richard (2020). Letter from Richard Bean. Journal of the Society for Psychical Research, 84 (1), 56-57.
Peer-to-Peer Energy Trading with Sustainable User Participation: A Game Theoretic Approach
Tushar, Wayes, Saha, Tapan Kumar, Yuen, Chau, Liddell, Paul, Bean, Richard and Poor, H. Vincent (2018). Peer-to-Peer Energy Trading with Sustainable User Participation: A Game Theoretic Approach. IEEE Access, 6 8490655, 62932-62943. doi: 10.1109/ACCESS.2018.2875405
How does our natural and built environment affect the use of bicycle sharing?
Mateo-Babiano, Iderlina, Bean, Richard, Corcoran, Jonathan and Pojani, Dorina (2016). How does our natural and built environment affect the use of bicycle sharing?. Transportation Research Part A: Policy and Practice, 94, 295-307. doi: 10.1016/j.tra.2016.09.015
McLaren, C. E., Gordeuk, V. R., Chen, W. -P., Barton, J. C., Action, R. T., Speechley, M., Castro, O., Adams, P. C., Snively, B. M., Harris, E. L., Reboussin, D. M., McLachlan, G. J. and Bean, R. (2008). Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) Study. Translational Research, 151 (2), 97-109. doi: 10.1016/j.trsl.2007.10.002
Application of gene shaving and mixture models to cluster microarray gene expression data
Do, K. A., McLachlan, G. J., Bean, R. W. and Wen, S. (2007). Application of gene shaving and mixture models to cluster microarray gene expression data. Cancer Informatics, 5, 25-43. doi: 10.1177/117693510700500002
Extension of the Mixture of Factor Analyzers Model to Incorporate the Multivariate t-Distribution
McLachlan, G. J., Bean, R. W. and Jones, L. B. T. (2007). Extension of the Mixture of Factor Analyzers Model to Incorporate the Multivariate t-Distribution. Computational Statistics & Data Analysis, 51 (11), 5327-5338. doi: 10.1016/j.csda.2006.09.015
Mixture models for detecting differentially expressed genes in microarrays
Jones, L. B. T., Bean, R., McLachlan, G. J. and Zhu, J. X. (2006). Mixture models for detecting differentially expressed genes in microarrays. International Journal of Neural Systems, 16 (5), 353-362. doi: 10.1142/S0129065706000755
McLachlan, GJ, Bean, RW and Jones, LBT (2006). A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays. Bioinformatics, 22 (13), 1608-1615. doi: 10.1093/bioinformatics/btl148
Latin trades on three or four rows
Bean, Richard (2006). Latin trades on three or four rows. Discrete Mathematics, 306 (23), 3028-3041. doi: 10.1016/j.disc.2005.06.040
Robust cluster analysis via mixture models
McLachlan, G J, Ng, S K and Bean, R W (2006). Robust cluster analysis via mixture models. Austrian Journal of Statistics, 35 (2 & 3), 157-174.
Critical sets in the elementary abelian 2- And 3-groups
Bean, Richard (2005). Critical sets in the elementary abelian 2- And 3-groups. Utilitas Mathematica, 68, 53-61.
Cluster analysis of high-dimensional data: A case study
Bean, R and McLachlan, G (2005). Cluster analysis of high-dimensional data: A case study. Intelligent Data Engineering And Automated Learning Ideal 2005, Proceedings, 3578 (-), 302-310.
Using mixture models to detect differentially expressed genes
McLachlan, G. J., Bean, R. W., Jones, L. and Zhu, J. X. (2005). Using mixture models to detect differentially expressed genes. Australian Journal Of Experimental Agriculture, 45 (7-8), 859-866. doi: 10.1071/EA05051
Clustering objects on subsets of attributes - Discussion
Hand, DJ, Glasbey, C, Husmeier, D, Gower, JC, van Houwelingen, HC, Bugrien, JB, Nason, G, Critchley, F, Hoff, PD, McLachlan, GJ and Bean, RW (2004). Clustering objects on subsets of attributes - Discussion. Journal of The Royal Statistical Society Series B-statistical Methodology, 66 (4), 839-849.
A new bound on the size of the largest critical set in a Latin square
Bean, Richard and Mahmoodian, E. S. (2003). A new bound on the size of the largest critical set in a Latin square. Discrete Mathematics, 267 (1-3), 13-21. doi: 10.1016/S0012-365X(02)00599-X
Modelling High-Dimensional Data by Mixtures of Factor Analyzers
McLachlan, G. J., Peel, D. and Bean, R. W. (2003). Modelling High-Dimensional Data by Mixtures of Factor Analyzers. Computational Statistics & Data Analysis, 41 (3-4), 379-388. doi: 10.1016/S0167-9473(02)00183-4
A census of critical sets in the Latin squares of order at most six
Adams, P, Bean, R and Khodkar, A (2003). A census of critical sets in the Latin squares of order at most six. Ars Combinatoria, 68 (1), 203-223.
A mixture model-based approach to the clustering of microarray expression data
McLachlan, GJ, Bean, RW and Peel, D (2002). A mixture model-based approach to the clustering of microarray expression data. Bioinformatics, 18 (3), 413-422. doi: 10.1093/bioinformatics/18.3.413
Steiner trades that give rise to completely decomposable latin interchanges
Bean, Richard, Donovan, Diane, Khodkar, Abdollah and Street, Anne Penfold (2002). Steiner trades that give rise to completely decomposable latin interchanges. International Journal of Computer Mathematics, 79 (12), 1273-1284. doi: 10.1080/00207160214654
Disjoint critical sets in Latin squares
Adams, P., Bean, R. W. and Khodkar, A. (2001). Disjoint critical sets in Latin squares. Congressus Numerantium, 153, 33-48.
Closing a gap in the spectrum of critical sets
Bean, R. and Donovan, D. M. (2000). Closing a gap in the spectrum of critical sets. Australasian Journal of Combinatorics, 22, 191-200.
Solving an alchemical cipher in a shared notebook of John and Arthur Dee
Bean, Richard, Lang, Sarah and Piorko, Megan (2022). Solving an alchemical cipher in a shared notebook of John and Arthur Dee. International Conference on Historical Cryptology HistoCrypt, Amsterdam, Netherland, 20-22 June 2022. Linköping, Sweden: Linköping University Electronic Press. doi: 10.3384/ecp188388
On-demand batteries as a peer-to-peer service
Balson, Alexander, Bean, Richard, Chapman, Archie C., Snow, Stephen, Viller, Stephen, Horrocks, Neil and Glencross, Mashhuda (2022). On-demand batteries as a peer-to-peer service. IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) Conference, Brisbane QLD Australia, 5-8 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISGTASIA49270.2021.9715657
On-demand batteries as a peer-to-peer service
Balson, Alexander, Bean, Richard, Chapman, Archie C., Snow, Stephen, Viller, Stephen, Horrocks, Neil and Glencross, Mashhuda (2022). On-demand batteries as a peer-to-peer service. IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Brisbane, QLD Australia, 5-8 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISGTAsia49270.2021.9715657
Cryptodiagnosis of “Kryptos K4”
Bean, Richard (2021). Cryptodiagnosis of “Kryptos K4”. International Conference on Historical Cryptology, Amsterdam, Netherlands, 20-22 June 2022. Linköping, Sweden: Linköping University Electronic Press. doi: 10.3384/ecp183153
The use of Project Gutenberg and hexagram statistics to help solve famous unsolved ciphers
Bean, Richard (2020). The use of Project Gutenberg and hexagram statistics to help solve famous unsolved ciphers. 3rd International Conference on Historical Cryptology HistoCrypt 2020, Budapest, Hungary, 15-17 June 2020. Linköping, Sweden: Linköping University Electronic Press. doi: 10.3384/ecp2020171005
Calculation of minimum reserve levels for the Australian national electricity market
Bean, Richard and Vanderwaal, Ben (2011). Calculation of minimum reserve levels for the Australian national electricity market. 17th Power Systems Computation Conference, Stockholm, Sweden, 22-26 August 2011. Red Hook, NY, United States: Curran Associates.
McLaren, C. E., Gordeuk, V. R., Chen, W. P., Barton, J. C., Acton, R. T., Speechley, M., Castro, O., Adams, P. C., Snively, B. M., Harris, E. L., Reboussin, D. M., McLachlan, G. J., Bean, R. and McLaren, G. D. (2007). Subpopulations with iron deficiency, liver disease, or HFE mutations revealed by statistical mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African American, Hispanics, and Whites. 49th Annual Meeting of the American Society of Hematology, Atlanta, GA, U.S.A., 8 - 11 December 2007. Washington, DC, U.S.A.: American Society of Hematology.
Ng, S K, McLachlan, G J, Bean, R W and NG, SW (2006). Clustering replicated microarray data in mixtures of random effects models for varius covariance structures. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB, Hobart, Australia, 4 December 2006. Sydney: The Australian Computer Society.
Issues of robustness and high dimensionality in cluster analysis
Basford, Kaye, McLachlan, Geoff and Bean, Richard (2006). Issues of robustness and high dimensionality in cluster analysis. 17th Symposium on Computational Statistics (COMSTAT 2006), Rome, Italy, 28 August - 1 September 2006. Rome, Italy: Physica-Verlag. doi: 10.1007/978-3-7908-1709-6_1
Application of mixture models to detect differentially expressed genes
Jones, LBT, Bean, R, McLachlan, G and Zhu, J (2005). Application of mixture models to detect differentially expressed genes. Berlin: Springer-Verlag Berlin. doi: 10.1007/11508069_55
Steiner trades that give rise to completely decomposable latin interchanges
Bean, R., Donovan, D. M., Khodkar, A. and Street, A. P. (2000). Steiner trades that give rise to completely decomposable latin interchanges. Eleventh Australasian Workshop on Combinatorial Algorithms, Hunter Valley, NSW, Australia, 20th July - 1st August 2000. Newcastle, Australia: The University of Newcastle.
Bean, Richard and Horrocks, Neil (2022, 12 20). How closely monitoring households’ energy data can unleash their solar outputs and (possibly) make them more money The Conversation
E-scooters are becoming wildly popular – but we have to factor in the weather
Kimpton, Anthony, Pojani, Dorina, Corcoran, Jonathan, Loginova, Julia, Bean, Richard and Sigler, Thomas (2022, 09 27). E-scooters are becoming wildly popular – but we have to factor in the weather
Deciphering the Philosophers’ Stone: how we cracked a 400-year-old alchemical cipher
Bean, Richard, Piorko, Megan and Lang, Sarah (2021, 10 13). Deciphering the Philosophers’ Stone: how we cracked a 400-year-old alchemical cipher The Conversation
Bean, Richard, Pojani, Dorina and Corcoran, Jonathan (2021, 10 06). We analysed 100 million bike trips to reveal where in the world cyclists are most likely to brave rain and cold The Conversation
How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones
Bean, Richard , Pojani, Dorina and Corcoran, Jonathan (2021). How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones. Mendeley Data. (Dataset) doi: 10.17632/2nxpvtz935.2
Declassified Cold War code-breaking manual has lessons for solving ‘impossible’ puzzles
Bean, Richard (2021, 05 31). Declassified Cold War code-breaking manual has lessons for solving ‘impossible’ puzzles The Conversation 1-1.
We decrypted messages from the Biafran war that have remained secret for 50 years
Bean, Richard , Weierud, Frode and Lasry, George (2020, 07 14). We decrypted messages from the Biafran war that have remained secret for 50 years The Conversation 1-1.
Keeping the power on to home medical devices
Bean, Richard, Snow, Stephen, Glencross, Mashhuda, Viller, Stephen and Horrocks, Neil (2020). Keeping the power on to home medical devices. The University of Queensland. (Dataset) doi: 10.14264/uql.2020.802
Cryptology from the crypt: how I cracked a 70-year-old coded message from beyond the grave
Bean, Richard (2019, 08 29). Cryptology from the crypt: how I cracked a 70-year-old coded message from beyond the grave The Conversation
Here’s what bike-sharing programs need to succeed
Mateo-Babiano, Iderlina, Pojani, Dorina, Corcoran, Jonathan and Bean, Richard (2017, 12 22). Here’s what bike-sharing programs need to succeed The Conversation
Critical Sets in Latin Squares and Associated Structures
Bean, Richard Winston (2001). Critical Sets in Latin Squares and Associated Structures. PhD Thesis, School of Physical Sciences, The University of Queensland. doi: 10.14264/uql.2016.77