Recurrent neural networks for short-term load forecasting: an overview and comparative analysis
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| Hauptverfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2017]
|
| Schriftenreihe: | SpringerBriefs in computer science
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UER01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (IX, 72 Seiten, 20 illus) |
| ISBN: | 9783319703381 |
| ISSN: | 2191-5768 |
| DOI: | 10.1007/978-3-319-70338-1 |
Internformat
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Datensatz im Suchindex
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| any_adam_object | |
| author | Bianchi, Filippo Maria Maiorino, Enrico Kampffmeyer, Michael C. Rizzi, Antonello Jenssen, Robert |
| author_GND | (DE-588)137638817 |
| author_facet | Bianchi, Filippo Maria Maiorino, Enrico Kampffmeyer, Michael C. Rizzi, Antonello Jenssen, Robert |
| author_role | aut aut aut aut aut |
| author_sort | Bianchi, Filippo Maria |
| author_variant | f m b fm fmb e m em m c k mc mck a r ar r j rj |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-319-70338-1 |
| format | Electronic eBook |
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| id | DE-604.BV044660275 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:56:27Z |
| institution | BVB |
| isbn | 9783319703381 |
| issn | 2191-5768 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030057778 |
| oclc_num | 1013882525 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-860 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-188 DE-19 DE-BY-UBM |
| owner_facet | DE-355 DE-BY-UBR DE-860 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-188 DE-19 DE-BY-UBM |
| physical | 1 Online-Ressource (IX, 72 Seiten, 20 illus) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2017 |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| record_format | marc |
| series2 | SpringerBriefs in computer science |
| spellingShingle | Bianchi, Filippo Maria Maiorino, Enrico Kampffmeyer, Michael C. Rizzi, Antonello Jenssen, Robert Recurrent neural networks for short-term load forecasting an overview and comparative analysis Computer science Computer software / Reusability Computer system failures Artificial intelligence Power electronics Computer Science Artificial Intelligence (incl. Robotics) System Performance and Evaluation Power Electronics, Electrical Machines and Networks Energy Efficiency Performance and Reliability |
| title | Recurrent neural networks for short-term load forecasting an overview and comparative analysis |
| title_auth | Recurrent neural networks for short-term load forecasting an overview and comparative analysis |
| title_exact_search | Recurrent neural networks for short-term load forecasting an overview and comparative analysis |
| title_full | Recurrent neural networks for short-term load forecasting an overview and comparative analysis Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen |
| title_fullStr | Recurrent neural networks for short-term load forecasting an overview and comparative analysis Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen |
| title_full_unstemmed | Recurrent neural networks for short-term load forecasting an overview and comparative analysis Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen |
| title_short | Recurrent neural networks for short-term load forecasting |
| title_sort | recurrent neural networks for short term load forecasting an overview and comparative analysis |
| title_sub | an overview and comparative analysis |
| topic | Computer science Computer software / Reusability Computer system failures Artificial intelligence Power electronics Computer Science Artificial Intelligence (incl. Robotics) System Performance and Evaluation Power Electronics, Electrical Machines and Networks Energy Efficiency Performance and Reliability |
| topic_facet | Computer science Computer software / Reusability Computer system failures Artificial intelligence Power electronics Computer Science Artificial Intelligence (incl. Robotics) System Performance and Evaluation Power Electronics, Electrical Machines and Networks Energy Efficiency Performance and Reliability |
| url | https://doi.org/10.1007/978-3-319-70338-1 |
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