Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting:
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2023
Singapore Springer |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | Lecture Notes in Electrical Engineering
956 |
| Schlagworte: | |
| Online-Zugang: | BFB01 BTU01 FAB01 FAN01 FAW01 FFW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 HTW01 UBT01 UBY01 Volltext |
| Beschreibung: | 1 Online-Ressource (XII, 198 p. 68 illus., 54 illus. in color) |
| ISBN: | 9789811964909 |
| ISSN: | 1876-1119 |
| DOI: | 10.1007/978-981-19-6490-9 |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:26:50Z |
| indexdate | 2024-08-01T10:58:44Z |
| institution | BVB |
| isbn | 9789811964909 |
| issn | 1876-1119 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034062098 |
| oclc_num | 1369558499 |
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| physical | 1 Online-Ressource (XII, 198 p. 68 illus., 54 illus. in color) |
| psigel | ZDB-2-ENE ZDB-2-ENE_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Nature Singapore Springer |
| record_format | marc |
| series2 | Lecture Notes in Electrical Engineering |
| spellingShingle | Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence |
| subject_GND | (DE-588)4143413-4 |
| title | Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting |
| title_auth | Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting |
| title_exact_search | Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting |
| title_exact_search_txtP | Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting |
| title_full | Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting edited by Anuradha Tomar, Prerna Gaur, Xiaolong Jin |
| title_fullStr | Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting edited by Anuradha Tomar, Prerna Gaur, Xiaolong Jin |
| title_full_unstemmed | Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting edited by Anuradha Tomar, Prerna Gaur, Xiaolong Jin |
| title_short | Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting |
| title_sort | prediction techniques for renewable energy generation and load demand forecasting |
| topic | Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence |
| topic_facet | Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence Aufsatzsammlung |
| url | https://doi.org/10.1007/978-981-19-6490-9 |
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