Estimating Energy Savings from Benchmarking Policies in New York City
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[1] William Chung,et al. Review of building energy-use performance benchmarking methodologies , 2011 .
[2] Richard E. Brown,et al. Status and Future Directions of the ENERGY STAR Program , 2000 .
[3] Luis Pérez-Lombard,et al. A review on buildings energy consumption information , 2008 .
[4] Clinton J. Andrews,et al. Energy-Efficient Reuse of Existing Commercial Buildings , 2016 .
[5] D. ürge-Vorsatz,et al. Potentials and costs of carbon dioxide mitigation in the world's buildings , 2008 .
[6] Fu Xiao,et al. Quantitative energy performance assessment methods for existing buildings , 2012 .
[7] George Stavrakakis,et al. Review on methodologies for energy benchmarking, rating and classification of buildings , 2011 .
[8] Ali M. Malkawi,et al. A new methodology for building energy performance benchmarking: An approach based on intelligent clustering algorithm , 2014 .
[9] Wen-Shing Lee,et al. Benchmarking the energy performance for cooling purposes in buildings using a novel index-total performance of energy for cooling purposes , 2010 .
[10] Constantine E. Kontokosta. Energy disclosure, market behavior, and the building data ecosystem , 2013, Annals of the New York Academy of Sciences.
[11] Milou Beerepoot,et al. Government regulation as an impetus for innovation: Evidence from energy performance regulation in the Dutch residential building sector , 2007 .
[12] Zhengwei Li,et al. Methods for benchmarking building energy consumption against its past or intended performance: An overview , 2014 .
[13] Antonio Pietro Francesco Andaloro,et al. Energy certification of buildings: A comparative analysis of progress towards implementation in European countries , 2010 .
[14] Wen-Shing Lee,et al. Evaluating and ranking energy performance of office buildings using Grey relational analysis , 2011 .
[15] David Hsu,et al. Improving energy benchmarking with self-reported data , 2014 .
[16] Michael Kremer,et al. Chapter 61 Using Randomization in Development Economics Research: A Toolkit ★ , 2007 .
[17] Endong Wang,et al. Multi-criteria building energy performance benchmarking through variable clustering based compromise TOPSIS with objective entropy weighting , 2017 .
[18] B. Rugani,et al. On the feasibility of using emergy analysis as a source of benchmarking criteria through data envelopment analysis: A case study for wind energy , 2014 .
[19] James P. Heaney,et al. Estimation of Urban Imperviousness and its Impacts on Storm Water Systems , 2003 .
[20] Melek Yalcintas,et al. An energy benchmarking model based on artificial neural network method utilizing US Commercial Buildings Energy Consumption Survey (CBECS) database , 2007 .
[21] Luis Pérez-Lombard,et al. A review of benchmarking, rating and labelling concepts within the framework of building energy certification schemes , 2009 .
[22] William Chung,et al. Benchmarking the energy efficiency of commercial buildings , 2006 .
[23] Nan Zhou,et al. Analysis and practices of energy benchmarking for industry from the perspective of systems engineering , 2013 .
[24] Margaret Walls,et al. Can Benchmarking and Disclosure Laws Provide Incentives for Energy Efficiency Improvements in Buildings? , 2015 .
[25] D. Weil,et al. The Effectiveness of Regulatory Disclosure Policies. , 2006 .
[26] Frédéric Magoulès,et al. A review on the prediction of building energy consumption , 2012 .
[27] I. Vassileva,et al. Understanding energy consumption behavior for future demand response strategy development , 2012 .
[28] David Hsu,et al. Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data , 2015 .