AI applications for clean energy and sustainability:
The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant ch...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
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| Schlagworte: | |
| Online-Zugang: | DE-91 DE-1050 Volltext |
| Zusammenfassung: | The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future |
| Beschreibung: | 1 Online-Ressource (vi, 485 Seiten) |
| DOI: | 10.4018/979-8-3693-6567-0 |
Internformat
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| 520 | |a The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future | ||
| 650 | 4 | |a Artificial intelligence |x Economic aspects | |
| 650 | 4 | |a Artificial intelligence |x Environmental aspects | |
| 650 | 4 | |a Clean energy industries |x Data processing | |
| 650 | 4 | |a Clean energy | |
| 650 | 4 | |a Information storage and retrieval systems |x Environmental protection | |
| 650 | 4 | |a Information storage and retrieval systems |x Power resources | |
| 650 | 4 | |a Renewable energy sources | |
| 650 | 4 | |a Sustainable development |x Technological innovations | |
| 700 | 1 | |a Kaunert, Christian |4 edt | |
| 700 | 1 | |a Riswandi, Budi Agus |d 1975- |4 edt | |
| 700 | 1 | |a Singh, Bhupinder |4 edt | |
| 700 | 1 | |a Vig, Komal |4 edt | |
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| discipline | Informatik Wirtschaftswissenschaften |
| doi_str_mv | 10.4018/979-8-3693-6567-0 |
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| indexdate | 2024-12-17T19:01:34Z |
| institution | BVB |
| language | English |
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| physical | 1 Online-Ressource (vi, 485 Seiten) |
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| spelling | AI applications for clean energy and sustainability Budi Agus Riswandi, Bhupinder Singh, Christian Kaunert, Komal Vig, editors Artificial intelligence applications for clean energy and sustainability Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (vi, 485 Seiten) txt rdacontent c rdamedia cr rdacarrier The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future Artificial intelligence Economic aspects Artificial intelligence Environmental aspects Clean energy industries Data processing Clean energy Information storage and retrieval systems Environmental protection Information storage and retrieval systems Power resources Renewable energy sources Sustainable development Technological innovations Kaunert, Christian edt Riswandi, Budi Agus 1975- edt Singh, Bhupinder edt Vig, Komal edt Erscheint auch als Druck-Ausgabe 9798369365670 https://doi.org/10.4018/979-8-3693-6567-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | AI applications for clean energy and sustainability Artificial intelligence Economic aspects Artificial intelligence Environmental aspects Clean energy industries Data processing Clean energy Information storage and retrieval systems Environmental protection Information storage and retrieval systems Power resources Renewable energy sources Sustainable development Technological innovations |
| title | AI applications for clean energy and sustainability |
| title_alt | Artificial intelligence applications for clean energy and sustainability |
| title_auth | AI applications for clean energy and sustainability |
| title_exact_search | AI applications for clean energy and sustainability |
| title_full | AI applications for clean energy and sustainability Budi Agus Riswandi, Bhupinder Singh, Christian Kaunert, Komal Vig, editors |
| title_fullStr | AI applications for clean energy and sustainability Budi Agus Riswandi, Bhupinder Singh, Christian Kaunert, Komal Vig, editors |
| title_full_unstemmed | AI applications for clean energy and sustainability Budi Agus Riswandi, Bhupinder Singh, Christian Kaunert, Komal Vig, editors |
| title_short | AI applications for clean energy and sustainability |
| title_sort | ai applications for clean energy and sustainability |
| topic | Artificial intelligence Economic aspects Artificial intelligence Environmental aspects Clean energy industries Data processing Clean energy Information storage and retrieval systems Environmental protection Information storage and retrieval systems Power resources Renewable energy sources Sustainable development Technological innovations |
| topic_facet | Artificial intelligence Economic aspects Artificial intelligence Environmental aspects Clean energy industries Data processing Clean energy Information storage and retrieval systems Environmental protection Information storage and retrieval systems Power resources Renewable energy sources Sustainable development Technological innovations |
| url | https://doi.org/10.4018/979-8-3693-6567-0 |
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