User activity recognition for energy saving in smart homes
Energy demand in typical home environments accounts for a significant fraction of the overall consumption in industrialized countries. In such context, the heterogeneity of the involved devices, and the non negligible influence of the human factor make the optimization of energy use a challenging ta...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cottone, Pietro [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Umfang: |
15 |
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| Übergeordnetes Werk: |
Enthalten in: BIG-OH: BInarization of gradient orientation histograms - Baber, Junaid ELSEVIER, 2014transfer abstract, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:16 ; year:2015 ; pages:156-170 ; extent:15 |
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| DOI / URN: |
10.1016/j.pmcj.2014.08.006 |
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Energy demand in typical home environments accounts for a significant fraction of the overall consumption in industrialized countries. In such context, the heterogeneity of the involved devices, and the non negligible influence of the human factor make the optimization of energy use a challenging task; effective automated approaches must take into account basic information about users, such as the prediction of their course of actions. |
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