Skip to menu Skip to content Skip to footer

2025

Book Chapter

Machine learning for energy management

Bean, Richard, Snow, Stephen, Li, Xiang, Glencross, Mashhuda and Chapman, Archie (2025). Machine learning for energy management. Research handbook on energy management. (pp. 123-160) edited by Reinhard Madlener and Valentin Bertsch. Cheltenham, United Kingdom: Edward Elgar Publishing. doi: 10.4337/9781800376502.00013

Machine learning for energy management

2023

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

2020

Book Chapter

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

Docked and dockless public bike-sharing schemes: research, practice and discourse

2017

Book Chapter

Clustering

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

Clustering

2008

Book Chapter

Clustering

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

2008

Book Chapter

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

Clustering of microarray data via mixture models