Dynamic time warping based non-intrusive load transient identification
• DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the propose...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Liu, Bo [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
|---|
| Schlagwörter: |
|---|
| Umfang: |
12 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Risky business: Psychopathy, framing effects, and financial outcomes - Costello, Thomas H. ELSEVIER, 2018, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:195 ; year:2017 ; day:1 ; month:06 ; pages:634-645 ; extent:12 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.apenergy.2017.03.010 |
|---|
| Katalog-ID: |
ELV020235682 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV020235682 | ||
| 003 | DE-627 | ||
| 005 | 20230623153906.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2017 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.apenergy.2017.03.010 |2 doi | |
| 028 | 5 | 2 | |a GBV00000000000102A.pica |
| 035 | |a (DE-627)ELV020235682 | ||
| 035 | |a (ELSEVIER)S0306-2619(17)30220-9 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 620 | |
| 082 | 0 | 4 | |a 620 |q DE-600 |
| 082 | 0 | 4 | |a 150 |a 300 |q VZ |
| 084 | |a 77.52 |2 bkl | ||
| 100 | 1 | |a Liu, Bo |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Dynamic time warping based non-intrusive load transient identification |
| 264 | 1 | |c 2017 | |
| 300 | |a 12 | ||
| 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 • DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost. | ||
| 650 | 7 | |a Dynamic time warping |2 Elsevier | |
| 650 | 7 | |a Non-intrusive load monitoring |2 Elsevier | |
| 650 | 7 | |a Nearest neighbor classification |2 Elsevier | |
| 650 | 7 | |a Load transient identification |2 Elsevier | |
| 650 | 7 | |a Transient power waveform |2 Elsevier | |
| 700 | 1 | |a Luan, Wenpeng |4 oth | |
| 700 | 1 | |a Yu, Yixin |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Costello, Thomas H. ELSEVIER |t Risky business: Psychopathy, framing effects, and financial outcomes |d 2018 |g Amsterdam [u.a.] |w (DE-627)ELV001651005 |
| 773 | 1 | 8 | |g volume:195 |g year:2017 |g day:1 |g month:06 |g pages:634-645 |g extent:12 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.apenergy.2017.03.010 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 936 | b | k | |a 77.52 |j Differentielle Psychologie |q VZ |
| 951 | |a AR | ||
| 952 | |d 195 |j 2017 |b 1 |c 0601 |h 634-645 |g 12 | ||
| 953 | |2 045F |a 620 | ||
| author_variant |
b l bl |
|---|---|
| matchkey_str |
liuboluanwenpengyuyixin:2017----:yaitmwrigaennnrsvlatas |
| hierarchy_sort_str |
2017 |
| bklnumber |
77.52 |
| publishDate |
2017 |
| allfields |
10.1016/j.apenergy.2017.03.010 doi GBV00000000000102A.pica (DE-627)ELV020235682 (ELSEVIER)S0306-2619(17)30220-9 DE-627 ger DE-627 rakwb eng 620 620 DE-600 150 300 VZ 77.52 bkl Liu, Bo verfasserin aut Dynamic time warping based non-intrusive load transient identification 2017 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost. Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform Elsevier Luan, Wenpeng oth Yu, Yixin oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:195 year:2017 day:1 month:06 pages:634-645 extent:12 https://doi.org/10.1016/j.apenergy.2017.03.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 195 2017 1 0601 634-645 12 045F 620 |
| spelling |
10.1016/j.apenergy.2017.03.010 doi GBV00000000000102A.pica (DE-627)ELV020235682 (ELSEVIER)S0306-2619(17)30220-9 DE-627 ger DE-627 rakwb eng 620 620 DE-600 150 300 VZ 77.52 bkl Liu, Bo verfasserin aut Dynamic time warping based non-intrusive load transient identification 2017 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost. Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform Elsevier Luan, Wenpeng oth Yu, Yixin oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:195 year:2017 day:1 month:06 pages:634-645 extent:12 https://doi.org/10.1016/j.apenergy.2017.03.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 195 2017 1 0601 634-645 12 045F 620 |
| allfields_unstemmed |
10.1016/j.apenergy.2017.03.010 doi GBV00000000000102A.pica (DE-627)ELV020235682 (ELSEVIER)S0306-2619(17)30220-9 DE-627 ger DE-627 rakwb eng 620 620 DE-600 150 300 VZ 77.52 bkl Liu, Bo verfasserin aut Dynamic time warping based non-intrusive load transient identification 2017 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost. Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform Elsevier Luan, Wenpeng oth Yu, Yixin oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:195 year:2017 day:1 month:06 pages:634-645 extent:12 https://doi.org/10.1016/j.apenergy.2017.03.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 195 2017 1 0601 634-645 12 045F 620 |
| allfieldsGer |
10.1016/j.apenergy.2017.03.010 doi GBV00000000000102A.pica (DE-627)ELV020235682 (ELSEVIER)S0306-2619(17)30220-9 DE-627 ger DE-627 rakwb eng 620 620 DE-600 150 300 VZ 77.52 bkl Liu, Bo verfasserin aut Dynamic time warping based non-intrusive load transient identification 2017 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost. Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform Elsevier Luan, Wenpeng oth Yu, Yixin oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:195 year:2017 day:1 month:06 pages:634-645 extent:12 https://doi.org/10.1016/j.apenergy.2017.03.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 195 2017 1 0601 634-645 12 045F 620 |
| allfieldsSound |
10.1016/j.apenergy.2017.03.010 doi GBV00000000000102A.pica (DE-627)ELV020235682 (ELSEVIER)S0306-2619(17)30220-9 DE-627 ger DE-627 rakwb eng 620 620 DE-600 150 300 VZ 77.52 bkl Liu, Bo verfasserin aut Dynamic time warping based non-intrusive load transient identification 2017 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost. Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform Elsevier Luan, Wenpeng oth Yu, Yixin oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:195 year:2017 day:1 month:06 pages:634-645 extent:12 https://doi.org/10.1016/j.apenergy.2017.03.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 195 2017 1 0601 634-645 12 045F 620 |
| language |
English |
| source |
Enthalten in Risky business: Psychopathy, framing effects, and financial outcomes Amsterdam [u.a.] volume:195 year:2017 day:1 month:06 pages:634-645 extent:12 |
| sourceStr |
Enthalten in Risky business: Psychopathy, framing effects, and financial outcomes Amsterdam [u.a.] volume:195 year:2017 day:1 month:06 pages:634-645 extent:12 |
| format_phy_str_mv |
Article |
| bklname |
Differentielle Psychologie |
| institution |
findex.gbv.de |
| topic_facet |
Dynamic time warping Non-intrusive load monitoring Nearest neighbor classification Load transient identification Transient power waveform |
| dewey-raw |
620 |
| isfreeaccess_bool |
false |
| container_title |
Risky business: Psychopathy, framing effects, and financial outcomes |
| authorswithroles_txt_mv |
Liu, Bo @@aut@@ Luan, Wenpeng @@oth@@ Yu, Yixin @@oth@@ |
| publishDateDaySort_date |
2017-01-01T00:00:00Z |
| hierarchy_top_id |
ELV001651005 |
| dewey-sort |
3620 |
| id |
ELV020235682 |
| 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">ELV020235682</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623153906.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apenergy.2017.03.010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000102A.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV020235682</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0306-2619(17)30220-9</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">620</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">150</subfield><subfield code="a">300</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">77.52</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Bo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Dynamic time warping based non-intrusive load transient identification</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">12</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">• DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Dynamic time warping</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Non-intrusive load monitoring</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nearest neighbor classification</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Load transient identification</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Transient power waveform</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Luan, Wenpeng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yu, Yixin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Costello, Thomas H. ELSEVIER</subfield><subfield code="t">Risky business: Psychopathy, framing effects, and financial outcomes</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV001651005</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:195</subfield><subfield code="g">year:2017</subfield><subfield code="g">day:1</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:634-645</subfield><subfield code="g">extent:12</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apenergy.2017.03.010</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="936" ind1="b" ind2="k"><subfield code="a">77.52</subfield><subfield code="j">Differentielle Psychologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">195</subfield><subfield code="j">2017</subfield><subfield code="b">1</subfield><subfield code="c">0601</subfield><subfield code="h">634-645</subfield><subfield code="g">12</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">620</subfield></datafield></record></collection>
|
| author |
Liu, Bo |
| spellingShingle |
Liu, Bo ddc 620 ddc 150 bkl 77.52 Elsevier Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform Dynamic time warping based non-intrusive load transient identification |
| authorStr |
Liu, Bo |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV001651005 |
| format |
electronic Article |
| dewey-ones |
620 - Engineering & allied operations 150 - Psychology 300 - Social sciences |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
620 620 DE-600 150 300 VZ 77.52 bkl Dynamic time warping based non-intrusive load transient identification Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform Elsevier |
| topic |
ddc 620 ddc 150 bkl 77.52 Elsevier Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform |
| topic_unstemmed |
ddc 620 ddc 150 bkl 77.52 Elsevier Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform |
| topic_browse |
ddc 620 ddc 150 bkl 77.52 Elsevier Dynamic time warping Elsevier Non-intrusive load monitoring Elsevier Nearest neighbor classification Elsevier Load transient identification Elsevier Transient power waveform |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
w l wl y y yy |
| hierarchy_parent_title |
Risky business: Psychopathy, framing effects, and financial outcomes |
| hierarchy_parent_id |
ELV001651005 |
| dewey-tens |
620 - Engineering 150 - Psychology 300 - Social sciences, sociology & anthropology |
| hierarchy_top_title |
Risky business: Psychopathy, framing effects, and financial outcomes |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV001651005 |
| title |
Dynamic time warping based non-intrusive load transient identification |
| ctrlnum |
(DE-627)ELV020235682 (ELSEVIER)S0306-2619(17)30220-9 |
| title_full |
Dynamic time warping based non-intrusive load transient identification |
| author_sort |
Liu, Bo |
| journal |
Risky business: Psychopathy, framing effects, and financial outcomes |
| journalStr |
Risky business: Psychopathy, framing effects, and financial outcomes |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology 100 - Philosophy & psychology 300 - Social sciences |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
zzz |
| container_start_page |
634 |
| author_browse |
Liu, Bo |
| container_volume |
195 |
| physical |
12 |
| class |
620 620 DE-600 150 300 VZ 77.52 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Liu, Bo |
| doi_str_mv |
10.1016/j.apenergy.2017.03.010 |
| dewey-full |
620 150 300 |
| title_sort |
dynamic time warping based non-intrusive load transient identification |
| title_auth |
Dynamic time warping based non-intrusive load transient identification |
| abstract |
• DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost. |
| abstractGer |
• DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost. |
| abstract_unstemmed |
• DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
Dynamic time warping based non-intrusive load transient identification |
| url |
https://doi.org/10.1016/j.apenergy.2017.03.010 |
| remote_bool |
true |
| author2 |
Luan, Wenpeng Yu, Yixin |
| author2Str |
Luan, Wenpeng Yu, Yixin |
| ppnlink |
ELV001651005 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth |
| doi_str |
10.1016/j.apenergy.2017.03.010 |
| up_date |
2024-07-06T17:04:23.083Z |
| _version_ |
1803850049737719808 |
| 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">ELV020235682</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623153906.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apenergy.2017.03.010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000102A.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV020235682</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0306-2619(17)30220-9</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">620</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">150</subfield><subfield code="a">300</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">77.52</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Bo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Dynamic time warping based non-intrusive load transient identification</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">12</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">• DTW algorithm is used to measure the similarity of variable-length TPW time-series. • A transient identification method using DTW-based integrated distance is proposed. • The integrated distance is designed combining multiple types of TPW signatures. • Comparison and field tests verify the proposed method’s accuracy. • The proposed method is easy to implement in an embedded system at a reasonable cost.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Dynamic time warping</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Non-intrusive load monitoring</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nearest neighbor classification</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Load transient identification</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Transient power waveform</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Luan, Wenpeng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yu, Yixin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Costello, Thomas H. ELSEVIER</subfield><subfield code="t">Risky business: Psychopathy, framing effects, and financial outcomes</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV001651005</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:195</subfield><subfield code="g">year:2017</subfield><subfield code="g">day:1</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:634-645</subfield><subfield code="g">extent:12</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apenergy.2017.03.010</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="936" ind1="b" ind2="k"><subfield code="a">77.52</subfield><subfield code="j">Differentielle Psychologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">195</subfield><subfield code="j">2017</subfield><subfield code="b">1</subfield><subfield code="c">0601</subfield><subfield code="h">634-645</subfield><subfield code="g">12</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">620</subfield></datafield></record></collection>
|
| score |
7.3999014 |