Recurrent neural networks for short-term load forecasting: an overview and comparative analysis
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Datensatz im Suchindex
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| 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 |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-319-70338-1 |
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| id | DE-604.BV044660275 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:08:19Z |
| 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 |
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| 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 |
| spelling | Bianchi, Filippo Maria Verfasser aut 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 Cham Springer [2017] 1 Online-Ressource (IX, 72 Seiten, 20 illus) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in computer science 2191-5768 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 Maiorino, Enrico Verfasser aut Kampffmeyer, Michael C. Verfasser aut Rizzi, Antonello Verfasser (DE-588)137638817 aut Jenssen, Robert Verfasser aut Erscheint auch als Druck-Ausgabe 978-3-319-70337-4 https://doi.org/10.1007/978-3-319-70338-1 Verlag URL des Erstveröffentlichers Volltext |
| 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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