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A platform for research: civil engineering, architecture and urbanism
Sampling for building energy consumption with fuzzy theory
HighlightsSampling for building energy consumption with the fuzzy method is proposed for the first time.The fuzzy method makes the samples representational.This method is more accurate and scientific than the statistical method.The method is especially applicable for dynamic energy consumption data.
AbstractThe foundation of energy saving is knowing the real status of building energy consumption. For various kinds and a great number of building energy consumption data, the fuzzy theory is applied for sampling. It would make data representational. Firstly, a fuzzy clustering method is used to classify the data set and then the samples are extracted from the subclass. A modified clustering algorithm based on entropy weight method is proposed. It can determine the number of the classification of data set. The simulation results indicate that the new method can directly determine the optimal sample size. This method is suitably applied for dynamic energy consumption data and is more accurate compared with the statistical method.
Sampling for building energy consumption with fuzzy theory
HighlightsSampling for building energy consumption with the fuzzy method is proposed for the first time.The fuzzy method makes the samples representational.This method is more accurate and scientific than the statistical method.The method is especially applicable for dynamic energy consumption data.
AbstractThe foundation of energy saving is knowing the real status of building energy consumption. For various kinds and a great number of building energy consumption data, the fuzzy theory is applied for sampling. It would make data representational. Firstly, a fuzzy clustering method is used to classify the data set and then the samples are extracted from the subclass. A modified clustering algorithm based on entropy weight method is proposed. It can determine the number of the classification of data set. The simulation results indicate that the new method can directly determine the optimal sample size. This method is suitably applied for dynamic energy consumption data and is more accurate compared with the statistical method.
Sampling for building energy consumption with fuzzy theory
Zhang, Jinghong Qin，Jili (author)
Energy and Buildings ; 156 ; 78-84
2017-09-16
7 pages
Article (Journal)
Electronic Resource
English
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