AI techniques for renewable source integration and battery charging methods in electric vehicle applications:
AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed gen...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2023]
|
| Schriftenreihe: | Advances in civil and industrial engineering (ACIE)
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4018/978-1-6684-8816-4 https://doi.org/10.4018/978-1-6684-8816-4 https://doi.org/10.4018/978-1-6684-8816-4 https://doi.org/10.4018/978-1-6684-8816-4 https://doi.org/10.4018/978-1-6684-8816-4 https://doi.org/10.4018/978-1-6684-8816-4 |
| Zusammenfassung: | AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed generators. Covering key topics such as deep learning, artificial intelligence, and smart solar energy, this premier reference source is ideal for environmentalists, computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students |
| Umfang: | 1 Online-Ressource (xix, 288 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781668488188 |
| DOI: | 10.4018/978-1-6684-8816-4 |
Internformat
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| id | DE-604.BV048933919 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T15:38:04Z |
| institution | BVB |
| isbn | 9781668488188 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034197815 |
| oclc_num | 1379415933 |
| open_access_boolean | |
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| owner_facet | DE-91 DE-BY-TUM DE-706 DE-83 DE-898 DE-BY-UBR DE-1050 |
| physical | 1 Online-Ressource (xix, 288 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-98-IGB ZDB-98-IGB FHR_PDA_IGB_Kauf ZDB-98-IGB TUB_EBS_IGB ZDB-98-IGB TUM_Paketkauf_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | IGI Global |
| record_format | marc |
| series2 | Advances in civil and industrial engineering (ACIE) |
| spellingShingle | AI techniques for renewable source integration and battery charging methods in electric vehicle applications Electric vehicles Batteries Artificial intelligence Engineering applications Renewable energy sources Battery management systems |
| title | AI techniques for renewable source integration and battery charging methods in electric vehicle applications |
| title_alt | Artificial intelligence techniques for renewable source integration and battery charging methods in electric vehicle applications |
| title_auth | AI techniques for renewable source integration and battery charging methods in electric vehicle applications |
| title_exact_search | AI techniques for renewable source integration and battery charging methods in electric vehicle applications |
| title_full | AI techniques for renewable source integration and battery charging methods in electric vehicle applications S. Angalaeswari, T. Deepa, L. Ashok Kumar |
| title_fullStr | AI techniques for renewable source integration and battery charging methods in electric vehicle applications S. Angalaeswari, T. Deepa, L. Ashok Kumar |
| title_full_unstemmed | AI techniques for renewable source integration and battery charging methods in electric vehicle applications S. Angalaeswari, T. Deepa, L. Ashok Kumar |
| title_short | AI techniques for renewable source integration and battery charging methods in electric vehicle applications |
| title_sort | ai techniques for renewable source integration and battery charging methods in electric vehicle applications |
| topic | Electric vehicles Batteries Artificial intelligence Engineering applications Renewable energy sources Battery management systems |
| topic_facet | Electric vehicles Batteries Artificial intelligence Engineering applications Renewable energy sources Battery management systems |
| url | https://doi.org/10.4018/978-1-6684-8816-4 |
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