Benchmarking whole-building energy performance with multi-criteria technique for order preference by similarity to ideal solution using a selective objective-weighting approach
暂无分享,去创建一个
[1] J. A. Gómez-Limón,et al. Empirical evaluation of agricultural sustainability using composite indicators. , 2010 .
[2] Luis Pérez-Lombard,et al. A review of benchmarking, rating and labelling concepts within the framework of building energy certification schemes , 2009 .
[3] William Chung,et al. Review of building energy-use performance benchmarking methodologies , 2011 .
[4] J. A. Gómez-Limón,et al. Alternative approaches to the construction of a composite indicator of agricultural sustainability: An application to irrigated agriculture in the Duero basin in Spain. , 2009, Journal of environmental management.
[5] Wen-Shing Lee,et al. Evaluating and ranking energy performance of office buildings using fuzzy measure and fuzzy integral , 2010 .
[6] Lung-Chieh Lin,et al. Evaluating and ranking the energy performance of office building using technique for order preference by similarity to ideal solution , 2011 .
[7] Prajakta Kulkarni,et al. Identifying Factors That Affect the Energy Consumption of Residential Buildings , 2010 .
[8] Reinhard Haas,et al. Energy efficiency indicators in the residential sector: What do we know and what has to be ensured? , 1997 .
[9] Ana Rita Domingues,et al. On multi-criteria sustainability assessment: Spider-gram surface and dependence biases , 2014 .
[10] M. Sabo,et al. Pooling of low flow regimes using cluster and principal component analysis , 2012 .
[11] M. N. Assimakopoulos,et al. Using intelligent clustering techniques to classify the energy performance of school buildings , 2007 .
[12] David L. Olson,et al. Comparison of weights in TOPSIS models , 2004, Math. Comput. Model..
[13] L. Vuataz. Some points of methodology in multidimensional data analysis as applied to sensory evaluation , 1977 .
[14] Fu Xiao,et al. Quantitative energy performance assessment methods for existing buildings , 2012 .
[15] Anna Laura Pisello,et al. A method for assessing buildings’ energy efficiency by dynamic simulation and experimental activity , 2012 .
[16] Qiang Zhang,et al. Model-based benchmarking with application to laboratory buildings , 2002 .
[17] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[18] William Chung,et al. Benchmarking the energy efficiency of commercial buildings , 2006 .
[19] Chee Ming Lim,et al. Developing building benchmarking for Brunei Darussalam , 2014 .
[20] Dejan Mumovic,et al. Improved benchmarking comparability for energy consumption in schools , 2014 .
[21] Ching-Lai Hwang,et al. Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.
[22] Nilgun B. Harmancioglu,et al. Multi-criteria decision making for water resource management: a case study of the Gediz River Basin, Turkey , 2010 .
[23] Argiris Tzikopoulos,et al. Modeling energy efficiency of bioclimatic buildings , 2005 .
[24] Hossein Estiri,et al. Building and household X-factors and energy consumption at the residential sector: A structural equation analysis of the effects of household and building characteristics on the annual energy consumption of US residential buildings , 2014 .
[25] Zhengwei Li,et al. Methods for benchmarking building energy consumption against its past or intended performance: An overview , 2014 .
[26] William Chung,et al. Using the fuzzy linear regression method to benchmark the energy efficiency of commercial buildings , 2012 .
[27] Tony N.T. Lam,et al. Artificial neural networks for energy analysis of office buildings with daylighting , 2010 .
[28] Wen-Shing Lee,et al. Evaluating and ranking energy performance of office buildings using Grey relational analysis , 2011 .
[29] Nance E. Matson,et al. Review of California and National Methods for Energy PerformanceBenchmarking of Commercial Buildings , 2005 .
[30] G. Mihalakakou,et al. Using principal component and cluster analysis in the heating evaluation of the school building sector , 2010 .
[31] Michael E. Schuckers,et al. Coping with Multicollinearity: An Example on Application of Principal Components Regression in Dendroecology , 2002 .
[32] Liu Yang,et al. Principal component analysis of electricity use in office buildings , 2008 .
[33] Richard Taylor. Interpretation of the Correlation Coefficient: A Basic Review , 1990 .
[34] Pei Sheng-guang. Comprehensive evaluation of hospital medical quality with principal component analysis and weighted TOPSIS method , 2008 .
[35] J. A. Gómez-Limón,et al. Ranking farms with a composite indicator of sustainability , 2011 .
[36] Ling-Feng Hsieh,et al. Performance evaluation for university electronic libraries in Taiwan , 2006, Electron. Libr..
[37] S. Beck,et al. Using regression analysis to predict the future energy consumption of a supermarket in the UK , 2014 .
[38] Kevin R Grosskopf,et al. Benchmarking energy performance of building envelopes through a selective residual-clustering approach using high dimensional dataset , 2014 .
[39] Irene P. Koronaki,et al. ORME: A multicriteria rating methodology for buildings , 2002 .
[40] Khee Poh Lam,et al. Development of whole-building energy performance models as benchmarks for retrofit projects , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).
[41] Melek Yalcintas,et al. An energy benchmarking model based on artificial neural network method utilizing US Commercial Buildings Energy Consumption Survey (CBECS) database , 2007 .
[42] Ravi Shankar,et al. A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain , 2011, Expert Syst. Appl..
[43] Thomas Olofsson,et al. Building energy parameter investigations based on multivariate analysis , 2009 .
[44] Rahul Vaish,et al. Magnetic material selection using multiple attribute decision making approach , 2012 .
[45] Wen-Shing Lee,et al. Benchmarking the performance of building energy management using data envelopment analysis , 2009 .
[46] Shankar Chakraborty,et al. Optimization of Correlated Responses of EDM Process , 2012 .
[47] Nathan A. Barry,et al. Determining a Community Retrofit Strategy for the Aging Housing Stock Using Utility and Assessor Data , 2011 .
[48] P. Allison. Multiple Regression: A Primer , 1994 .