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
Autor*in: |
Cottone, Pietro [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2015 |
---|
Schlagwörter: |
---|
Umfang: |
15 |
---|
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 |
Links: |
---|
DOI / URN: |
10.1016/j.pmcj.2014.08.006 |
---|
Katalog-ID: |
ELV039682919 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV039682919 | ||
003 | DE-627 | ||
005 | 20230624063449.0 | ||
007 | cr uuu---uuuuu | ||
008 | 180603s2015 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.pmcj.2014.08.006 |2 doi | |
028 | 5 | 2 | |a GBVA2015007000013.pica |
035 | |a (DE-627)ELV039682919 | ||
035 | |a (ELSEVIER)S1574-1192(14)00138-2 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | |a 004 | |
082 | 0 | 4 | |a 004 |q DE-600 |
082 | 0 | 4 | |a 004 |q VZ |
100 | 1 | |a Cottone, Pietro |e verfasserin |4 aut | |
245 | 1 | 0 | |a User activity recognition for energy saving in smart homes |
264 | 1 | |c 2015 | |
300 | |a 15 | ||
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a 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. | ||
650 | 7 | |a Peak load avoidance |2 Elsevier | |
650 | 7 | |a Structural modeling |2 Elsevier | |
650 | 7 | |a Activity discovery |2 Elsevier | |
700 | 1 | |a Gaglio, Salvatore |4 oth | |
700 | 1 | |a Lo Re, Giuseppe |4 oth | |
700 | 1 | |a Ortolani, Marco |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier |a Baber, Junaid ELSEVIER |t BIG-OH: BInarization of gradient orientation histograms |d 2014transfer abstract |g Amsterdam [u.a.] |w (DE-627)ELV02262399X |
773 | 1 | 8 | |g volume:16 |g year:2015 |g pages:156-170 |g extent:15 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.pmcj.2014.08.006 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_78 | ||
912 | |a GBV_ILN_100 | ||
912 | |a GBV_ILN_130 | ||
912 | |a GBV_ILN_300 | ||
951 | |a AR | ||
952 | |d 16 |j 2015 |h 156-170 |g 15 | ||
953 | |2 045F |a 004 |
author_variant |
p c pc |
---|---|
matchkey_str |
cottonepietrogagliosalvatoreloregiuseppe:2015----:srciiyeontofrnryai |
hierarchy_sort_str |
2015 |
publishDate |
2015 |
allfields |
10.1016/j.pmcj.2014.08.006 doi GBVA2015007000013.pica (DE-627)ELV039682919 (ELSEVIER)S1574-1192(14)00138-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ Cottone, Pietro verfasserin aut User activity recognition for energy saving in smart homes 2015 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery Elsevier Gaglio, Salvatore oth Lo Re, Giuseppe oth Ortolani, Marco oth Enthalten in Elsevier Baber, Junaid ELSEVIER BIG-OH: BInarization of gradient orientation histograms 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV02262399X volume:16 year:2015 pages:156-170 extent:15 https://doi.org/10.1016/j.pmcj.2014.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_78 GBV_ILN_100 GBV_ILN_130 GBV_ILN_300 AR 16 2015 156-170 15 045F 004 |
spelling |
10.1016/j.pmcj.2014.08.006 doi GBVA2015007000013.pica (DE-627)ELV039682919 (ELSEVIER)S1574-1192(14)00138-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ Cottone, Pietro verfasserin aut User activity recognition for energy saving in smart homes 2015 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery Elsevier Gaglio, Salvatore oth Lo Re, Giuseppe oth Ortolani, Marco oth Enthalten in Elsevier Baber, Junaid ELSEVIER BIG-OH: BInarization of gradient orientation histograms 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV02262399X volume:16 year:2015 pages:156-170 extent:15 https://doi.org/10.1016/j.pmcj.2014.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_78 GBV_ILN_100 GBV_ILN_130 GBV_ILN_300 AR 16 2015 156-170 15 045F 004 |
allfields_unstemmed |
10.1016/j.pmcj.2014.08.006 doi GBVA2015007000013.pica (DE-627)ELV039682919 (ELSEVIER)S1574-1192(14)00138-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ Cottone, Pietro verfasserin aut User activity recognition for energy saving in smart homes 2015 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery Elsevier Gaglio, Salvatore oth Lo Re, Giuseppe oth Ortolani, Marco oth Enthalten in Elsevier Baber, Junaid ELSEVIER BIG-OH: BInarization of gradient orientation histograms 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV02262399X volume:16 year:2015 pages:156-170 extent:15 https://doi.org/10.1016/j.pmcj.2014.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_78 GBV_ILN_100 GBV_ILN_130 GBV_ILN_300 AR 16 2015 156-170 15 045F 004 |
allfieldsGer |
10.1016/j.pmcj.2014.08.006 doi GBVA2015007000013.pica (DE-627)ELV039682919 (ELSEVIER)S1574-1192(14)00138-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ Cottone, Pietro verfasserin aut User activity recognition for energy saving in smart homes 2015 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery Elsevier Gaglio, Salvatore oth Lo Re, Giuseppe oth Ortolani, Marco oth Enthalten in Elsevier Baber, Junaid ELSEVIER BIG-OH: BInarization of gradient orientation histograms 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV02262399X volume:16 year:2015 pages:156-170 extent:15 https://doi.org/10.1016/j.pmcj.2014.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_78 GBV_ILN_100 GBV_ILN_130 GBV_ILN_300 AR 16 2015 156-170 15 045F 004 |
allfieldsSound |
10.1016/j.pmcj.2014.08.006 doi GBVA2015007000013.pica (DE-627)ELV039682919 (ELSEVIER)S1574-1192(14)00138-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ Cottone, Pietro verfasserin aut User activity recognition for energy saving in smart homes 2015 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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. Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery Elsevier Gaglio, Salvatore oth Lo Re, Giuseppe oth Ortolani, Marco oth Enthalten in Elsevier Baber, Junaid ELSEVIER BIG-OH: BInarization of gradient orientation histograms 2014transfer abstract Amsterdam [u.a.] (DE-627)ELV02262399X volume:16 year:2015 pages:156-170 extent:15 https://doi.org/10.1016/j.pmcj.2014.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_78 GBV_ILN_100 GBV_ILN_130 GBV_ILN_300 AR 16 2015 156-170 15 045F 004 |
language |
English |
source |
Enthalten in BIG-OH: BInarization of gradient orientation histograms Amsterdam [u.a.] volume:16 year:2015 pages:156-170 extent:15 |
sourceStr |
Enthalten in BIG-OH: BInarization of gradient orientation histograms Amsterdam [u.a.] volume:16 year:2015 pages:156-170 extent:15 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Peak load avoidance Structural modeling Activity discovery |
dewey-raw |
004 |
isfreeaccess_bool |
false |
container_title |
BIG-OH: BInarization of gradient orientation histograms |
authorswithroles_txt_mv |
Cottone, Pietro @@aut@@ Gaglio, Salvatore @@oth@@ Lo Re, Giuseppe @@oth@@ Ortolani, Marco @@oth@@ |
publishDateDaySort_date |
2015-01-01T00:00:00Z |
hierarchy_top_id |
ELV02262399X |
dewey-sort |
14 |
id |
ELV039682919 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV039682919</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624063449.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.pmcj.2014.08.006</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2015007000013.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV039682919</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1574-1192(14)00138-2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Cottone, Pietro</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">User activity recognition for energy saving in smart homes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">15</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Peak load avoidance</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Structural modeling</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Activity discovery</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gaglio, Salvatore</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lo Re, Giuseppe</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ortolani, Marco</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Baber, Junaid ELSEVIER</subfield><subfield code="t">BIG-OH: BInarization of gradient orientation histograms</subfield><subfield code="d">2014transfer abstract</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV02262399X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2015</subfield><subfield code="g">pages:156-170</subfield><subfield code="g">extent:15</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.pmcj.2014.08.006</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_78</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_130</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_300</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2015</subfield><subfield code="h">156-170</subfield><subfield code="g">15</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">004</subfield></datafield></record></collection>
|
author |
Cottone, Pietro |
spellingShingle |
Cottone, Pietro ddc 004 Elsevier Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery User activity recognition for energy saving in smart homes |
authorStr |
Cottone, Pietro |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV02262399X |
format |
electronic Article |
dewey-ones |
004 - Data processing & computer science |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
004 004 DE-600 004 VZ User activity recognition for energy saving in smart homes Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery Elsevier |
topic |
ddc 004 Elsevier Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery |
topic_unstemmed |
ddc 004 Elsevier Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery |
topic_browse |
ddc 004 Elsevier Peak load avoidance Elsevier Structural modeling Elsevier Activity discovery |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
s g sg r g l rg rgl m o mo |
hierarchy_parent_title |
BIG-OH: BInarization of gradient orientation histograms |
hierarchy_parent_id |
ELV02262399X |
dewey-tens |
000 - Computer science, knowledge & systems |
hierarchy_top_title |
BIG-OH: BInarization of gradient orientation histograms |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV02262399X |
title |
User activity recognition for energy saving in smart homes |
ctrlnum |
(DE-627)ELV039682919 (ELSEVIER)S1574-1192(14)00138-2 |
title_full |
User activity recognition for energy saving in smart homes |
author_sort |
Cottone, Pietro |
journal |
BIG-OH: BInarization of gradient orientation histograms |
journalStr |
BIG-OH: BInarization of gradient orientation histograms |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
000 - Computer science, information & general works |
recordtype |
marc |
publishDateSort |
2015 |
contenttype_str_mv |
zzz |
container_start_page |
156 |
author_browse |
Cottone, Pietro |
container_volume |
16 |
physical |
15 |
class |
004 004 DE-600 004 VZ |
format_se |
Elektronische Aufsätze |
author-letter |
Cottone, Pietro |
doi_str_mv |
10.1016/j.pmcj.2014.08.006 |
dewey-full |
004 |
title_sort |
user activity recognition for energy saving in smart homes |
title_auth |
User activity recognition for energy saving in smart homes |
abstract |
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. |
abstractGer |
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. |
abstract_unstemmed |
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. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_78 GBV_ILN_100 GBV_ILN_130 GBV_ILN_300 |
title_short |
User activity recognition for energy saving in smart homes |
url |
https://doi.org/10.1016/j.pmcj.2014.08.006 |
remote_bool |
true |
author2 |
Gaglio, Salvatore Lo Re, Giuseppe Ortolani, Marco |
author2Str |
Gaglio, Salvatore Lo Re, Giuseppe Ortolani, Marco |
ppnlink |
ELV02262399X |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth |
doi_str |
10.1016/j.pmcj.2014.08.006 |
up_date |
2024-07-06T21:14:13.332Z |
_version_ |
1803865768154103808 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV039682919</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624063449.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.pmcj.2014.08.006</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2015007000013.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV039682919</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1574-1192(14)00138-2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Cottone, Pietro</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">User activity recognition for energy saving in smart homes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">15</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Peak load avoidance</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Structural modeling</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Activity discovery</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gaglio, Salvatore</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lo Re, Giuseppe</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ortolani, Marco</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Baber, Junaid ELSEVIER</subfield><subfield code="t">BIG-OH: BInarization of gradient orientation histograms</subfield><subfield code="d">2014transfer abstract</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV02262399X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2015</subfield><subfield code="g">pages:156-170</subfield><subfield code="g">extent:15</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.pmcj.2014.08.006</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_78</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_130</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_300</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2015</subfield><subfield code="h">156-170</subfield><subfield code="g">15</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">004</subfield></datafield></record></collection>
|
score |
7.3976707 |