Machine Learning for Sustainable Energy Solutions
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Erscheint vorauss. 4. Februar 2026
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This book aims to provide comprehensive insights into integrating modern engineering techniques such as machine learning (ML), artificial intelligence (AI), nanotechnology, digital twins, and the Internet of Things (IoT) with renewable energy. The book helps readers implement machine learning in sustainability and how these technologies can create better solutions. The book will also enrich readers by providing perspectives, methods, and inspiration for using machine learning to create a more sustainable and environmentally responsible world. Readers will find this book instrumental in broaden...
This book aims to provide comprehensive insights into integrating modern engineering techniques such as machine learning (ML), artificial intelligence (AI), nanotechnology, digital twins, and the Internet of Things (IoT) with renewable energy. The book helps readers implement machine learning in sustainability and how these technologies can create better solutions. The book will also enrich readers by providing perspectives, methods, and inspiration for using machine learning to create a more sustainable and environmentally responsible world. Readers will find this book instrumental in broadening their understanding of machine learning applications in the energy sector. By delving into the concepts, perspectives, and skills presented, professionals can enhance their capacity to contribute meaningfully to the development and implementation of sustainable energy solutions.
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