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A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction
Li, Kangji[1]; Xie, Xianming[2]; Xue, Wenping[3]; Dai, Xiaoli[4]; Chen, Xu[5]; Yang, Xinyun[6]
刊名ENERGY AND BUILDINGS
2018
卷号174页码:323-334
关键词Short-term building energy forecasting Data-driven method Evolutionary algorithm TLBO Hybrid models
ISSN号0378-7788
DOIhttp://dx.doi.org/10.1016/j.enbuild.2018.06.017
URL标识查看原文
收录类别SCI(E) ; EI
WOS记录号WOS:000441855100028
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/5333342
专题江苏大学
作者单位1.[1]Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Peoples R China.
2.[2]Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Peoples R China.
3.[3]Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Peoples R China.
4.[4]Jiangsu Univ, Sch Energy & Power Engn, Zhenjiang 212013, Peoples R China.
5.[5]Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Peoples R China.
6.[6]Univ Toronto, Stat Dept, Toronto, ON M5S 1A1, Canada.
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GB/T 7714
Li, Kangji[1],Xie, Xianming[2],Xue, Wenping[3],et al. A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction[J]. ENERGY AND BUILDINGS,2018,174:323-334.
APA Li, Kangji[1],Xie, Xianming[2],Xue, Wenping[3],Dai, Xiaoli[4],Chen, Xu[5],&Yang, Xinyun[6].(2018).A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction.ENERGY AND BUILDINGS,174,323-334.
MLA Li, Kangji[1],et al."A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction".ENERGY AND BUILDINGS 174(2018):323-334.
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