Outputs (2)

Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation (2020)
Journal Article
Zakhary, S., Rosser, J., Siebers, P.-O., Mao, Y., & Robinson, D. (2020). Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation. Environment and Planning B: Urban Analytics and City Science, 48(5), https://doi.org/10.1177/2399808320914313

Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis (2018)
Journal Article
Tran, T. H., Mao, Y., Nathanail, P., Siebers, P.-O., & Robinson, D. (2019). Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis. Omega, 85, 156-165. https://doi.org/10.1016/j.omega.2018.06.008

© 2018 Elsevier Ltd In this paper, we develop an integrated model for slacks-based measure (SBM) simultaneously of both the efficiency and the super-efficiency for decision-making units (DMUs) in data envelopment analysis (DEA). Unlike the traditiona... Read More about Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis.