Machine Learning Approaches to Non-Intrusive Load Monitoring:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2020
Cham Springer |
| Ausgabe: | 1st ed. 2020 |
| Schriftenreihe: | SpringerBriefs in Energy
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FAW01 FFW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 HTW01 UBT01 UBY01 Volltext |
| Beschreibung: | 1 Online-Ressource (VIII, 135 p. 37 illus., 25 illus. in color) |
| ISBN: | 9783030307820 |
| ISSN: | 2191-5520 |
| DOI: | 10.1007/978-3-030-30782-0 |
Internformat
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Datensatz im Suchindex
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| author | Bonfigli, Roberto Squartini, Stefano |
| author_facet | Bonfigli, Roberto Squartini, Stefano |
| author_role | aut aut |
| author_sort | Bonfigli, Roberto |
| author_variant | r b rb s s ss |
| building | Verbundindex |
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| dewey-sort | 3621.042 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik Energietechnik |
| doi_str_mv | 10.1007/978-3-030-30782-0 |
| edition | 1st ed. 2020 |
| format | Electronic eBook |
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| id | DE-604.BV046283998 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T15:00:30Z |
| institution | BVB |
| isbn | 9783030307820 |
| issn | 2191-5520 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031661578 |
| oclc_num | 1130279495 |
| open_access_boolean | |
| owner | DE-1028 DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-634 DE-1050 DE-706 |
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| physical | 1 Online-Ressource (VIII, 135 p. 37 illus., 25 illus. in color) |
| psigel | ZDB-2-ENE ZDB-2-ENE_2020_Fremddaten |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| series2 | SpringerBriefs in Energy |
| spellingShingle | Bonfigli, Roberto Squartini, Stefano Machine Learning Approaches to Non-Intrusive Load Monitoring Energy Systems Artificial Intelligence Electrical Engineering Energy systems Artificial intelligence Electrical engineering Elektrische Spannung (DE-588)4056001-6 gnd Überwachung (DE-588)4134175-2 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Elektrizitätsversorgung (DE-588)4014224-3 gnd |
| subject_GND | (DE-588)4056001-6 (DE-588)4134175-2 (DE-588)4033447-8 (DE-588)4014224-3 |
| title | Machine Learning Approaches to Non-Intrusive Load Monitoring |
| title_auth | Machine Learning Approaches to Non-Intrusive Load Monitoring |
| title_exact_search | Machine Learning Approaches to Non-Intrusive Load Monitoring |
| title_full | Machine Learning Approaches to Non-Intrusive Load Monitoring by Roberto Bonfigli, Stefano Squartini |
| title_fullStr | Machine Learning Approaches to Non-Intrusive Load Monitoring by Roberto Bonfigli, Stefano Squartini |
| title_full_unstemmed | Machine Learning Approaches to Non-Intrusive Load Monitoring by Roberto Bonfigli, Stefano Squartini |
| title_short | Machine Learning Approaches to Non-Intrusive Load Monitoring |
| title_sort | machine learning approaches to non intrusive load monitoring |
| topic | Energy Systems Artificial Intelligence Electrical Engineering Energy systems Artificial intelligence Electrical engineering Elektrische Spannung (DE-588)4056001-6 gnd Überwachung (DE-588)4134175-2 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Elektrizitätsversorgung (DE-588)4014224-3 gnd |
| topic_facet | Energy Systems Artificial Intelligence Electrical Engineering Energy systems Artificial intelligence Electrical engineering Elektrische Spannung Überwachung Künstliche Intelligenz Elektrizitätsversorgung |
| url | https://doi.org/10.1007/978-3-030-30782-0 |
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