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摘要:
The identification and recognition of patterns in the context of building is a necessary feedback to create intelligent buildings. In this context, the key is empowering the systems with learning elements to make decisions. The challenge is detected element to predict the human behavior in the building. Daily mean outdoor temperature is one of the variables with incidence in the human comfort due to the weather adaptation of the users. In this paper it analyzed the consumption in an office respect to the internal temperature and the daily mean temperature through cluster techniques. The cluster can be used as a forecasting of consumption.
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篇名 Identification of Patterns of Consumption through the Daily Mean Outdoor Temperature
来源期刊 世界工程和技术(英文) 学科 医学
关键词 Pattern RECOGNITION IDENTIFICATION CLUSTERING Energy
年,卷(期) 2017,(3) 所属期刊栏目
研究方向 页码范围 20-28
页数 9页 分类号 R73
字数 语种
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研究主题发展历程
节点文献
Pattern
RECOGNITION
IDENTIFICATION
CLUSTERING
Energy
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相关学者/机构
期刊影响力
世界工程和技术(英文)
季刊
2331-4222
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
482
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0
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