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2019Energy Economics: Vol. 81Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysisEndong Wang, Zhigang Shen, Neslihan Alp, Nate Barryhttp://dx.doi.org/10.1002/9781118979259.ch28
2018Journal of Applied Statistics: Vol. 45, Issue 1Energy performance evaluation of OECD countries using Bayesian stochastic frontier analysis and Bayesian network classifiershttp://dx.doi.org/10.1016/j.eneco.2019.03.021
2017Energy Economics: Vol. 62A literature study for DEA applied to energy and environmentToshiyuki Sueyoshi, Yan Yuan, Mika Gotohttp://dx.doi.org/10.1504/IJGEI.2009.027970
2015Energy Conversion and Management: Vol. 106Benchmarking energy performance of residential buildings using two-stage multifactor data envelopment analysis with degree-day based simple-normalization approachP. Zhou, B.W. Ang, K.L. Pohhttp://dx.doi.org/10.1007/1-4020-7798-X_14
2009International Journal of Global Energy Issues: Vol. 32, Issue 1/2Benchmarking weather sensitive plant level manufacturing energy useGale Boydhttp://dx.doi.org/10.1061/9780784481301.032
2008European Journal of Operational Research: Vol. 189, Issue 1A survey of data envelopment analysis in energy and environmental studiesKonstantinos P. Triantishttp://dx.doi.org/10.2139/ssrn.1280878
2008SSRN Electronic JournalMeasuring Residential Energy Efficiency Improvements with DEAGale A. Boyd, Jonathan M. Leehttp://dx.doi.org/10.1016/j.eneco.2016.11.006
2007SSRN Electronic JournalEstimating the Distribution of Plant-Level Manufacturing Energy Efficiency With Stochastic Frontier RegressionGale A. Boydhttp://dx.doi.org/10.2139/ssrn.1015593