Smart Home Futures Algorithmic Opportunities and Challenges

被引:9
作者
Kazmi, Hussain [1 ]
Amayri, Manar [2 ]
Mehmood, Fahad [3 ]
机构
[1] KU Leuven & Enervalis, ELECTA & Data Sci Grp, Leuven, Belgium
[2] Grenoble Inst Technol, G SCOP Lab, Grenoble, France
[3] LUMS, Lahore, Pakistan
来源
2017 14TH INTERNATIONAL SYMPOSIUM ON PERVASIVE SYSTEMS, ALGORITHMS AND NETWORKS & 2017 11TH INTERNATIONAL CONFERENCE ON FRONTIER OF COMPUTER SCIENCE AND TECHNOLOGY & 2017 THIRD INTERNATIONAL SYMPOSIUM OF CREATIVE COMPUTING (ISPAN-FCST-ISCC) | 2017年
关键词
smart homes; control; automation; reasoning; challenges; opportunities; DEMAND RESPONSE; CONSUMPTION; OCCUPANCY;
D O I
10.1109/ISPAN-FCST-ISCC.2017.60
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Humans are increasingly spending their time indoors. This, along with higher wealth levels and rise of internet of things, has provided designers and planners the opportunity to reimagine living spaces. The smart homes that have arisen out of this reimagining come in many different shapes; but to gain widespread acceptance they have to increase the utility of building occupants in some meaningful way while not being intrusive. The most straightforward way of achieving this end goal is assumed to be through artificial intelligence. In this paper, we take a critical look at some algorithmic approaches that have been formulated to do so and the opportunities they will create in the short term. We also present some key challenges that must be overcome before these opportunities can be realized in practice.
引用
收藏
页码:441 / 448
页数:8
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