Sinossi
As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more.
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Bridging Human-Machine Interaction for Energy Infrastructure
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798337356211
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Bridging Human-Machine Interaction for Energy Infrastructure (Hardcover)
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Hardcover. Condizione: new. Hardcover. As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798337356211
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Bridging Human-Machine Interaction for Energy Infrastructure
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more. Codice articolo 9798337356211
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