Artificial intelligence for sustainable energy systems. 1, intelligent technologies for sustainable energy management /
Artificial Intelligence for Sustainable Energy Systems 1 presents a comprehensive exploration of how intelligent technologies are transforming modern energy infrastructures toward a more sustainable and efficient future. This book brings together the fundamental concepts of artificial intelligence (...
| Other Authors: | , , , |
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| Format: | Book |
| Language: | English |
| Published: |
London, UK : Hoboken, NJ :
ISTE Ltd ; John Wiley & Sons, Inc.,
2026.
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| Series: | Computer engineering series (London, England)
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Artificial Intelligence for Sustainable Energy Systems 1 presents a comprehensive exploration of how intelligent technologies are transforming modern energy infrastructures toward a more sustainable and efficient future. This book brings together the fundamental concepts of artificial intelligence (AI), machine learning, deep learning and big data analytics, with their practical integration into renewable energy systems, smart grids and digital energy management platforms. The book covers key developments such as AI-driven renewable optimization, predictive modeling for energy demand, digital twins for asset maintenance, blockchain-enabled energy trading, IoT-based smart grids and intelligent monitoring systems. By blending theoretical insights with real-world technological implementations, the book highlights how data-driven intelligence enhances reliability, security and sustainability across energy ecosystems. Designed for researchers, engineers, graduate students and policymakers, this book serves as a fundamental reference for advancing intelligent solutions in next-generation sustainable energy systems. |
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| Item Description: | Electronic book. |
| Physical Description: | 1 online resource (304 p.). |
| Audience: | Professional and scholarly. |
| ISBN: | 9781394464333 1394464339 9781394464326 1394464320 |