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Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques

机译：基于回归和聚类技术的住宅房间的基准测试空调能量性能

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Yuren Zhou; Clement Lork; Wen-Tai Li; Chau Yuen; Yeong Ming Keow;
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年度 2019
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1. Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques [J] . Zhou Yuren, Lork Clement, Li Wen-Tai, Applied Energy . 2019,第NOVa1期

机译：基于回归和聚类技术的住宅空调能效基准测试
2. Evaluation of the energy performance of variable refrigerant flow systems using dynamic energy benchmarks based on data mining techniques [J] . Liu Jiangyan, Wang Jiangyu, Li Guannan, Applied Energy . 2017,第deca15期

机译：基于数据挖掘技术的基于动态能量基准的可变制冷剂流量系统的能量性能评估
3. Benchmarking energy performance of residential buildings using two-stage multifactor data envelopment analysis with degree-day based simple-normalization approach [J] . Wang Endong, Shen Zhigang, Alp Neslihan, Energy Conversion & Management . 2015,第DECa期

机译：使用基于度日的简单归一化方法的两阶段多因素数据包络分析，对住宅建筑的能源性能进行基准测试
4. Survey of Total Energy System for Air-conditioning Based on PEMFC for Residential Application in Gharda?a [C] . W.Bendaikha-Touafek, K.Touafek, S.Larbi World Renewable Energy Congress . 2006

机译：基于PEMFC的Gharda？a住宅空调总能耗系统调查
5. Addressing uncertainties in residential energy performance benchmarking and projecting through data mining approach [D] . Wang, Endong. 2013

机译：通过数据挖掘方法解决住宅能源绩效基准测试的不确定性
6. Estimating the Concrete Compressive Strength Using Hard Clustering and Fuzzy Clustering Based Regression Techniques [O] . Naresh Kumar Nagwani, Shirish V. Deo -1

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7. Performance Based Clustering for Benchmarking of Container Ports: an Application of Dea and Cluster Analysis Technique [O] . Jie Wu, Liang Liang, Malin Song 2010

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Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques

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