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Digital Twin Technology And Smart Grid Iraklis, Phd (Associate Professor Of Data Management, Depart Varlamis
Digital Twin Technology And Smart Grid Iraklis, Phd (Associate Professor Of Data Management, Depart Varlamis
Digital Twin Technology And Smart Grid Iraklis, Phd (Associate Professor Of Data Management, Depart Varlamis
Digital Twin Technology And Smart Grid Iraklis, Phd (Associate Professor Of Data Management, Depart Varlamis

Digital Twin Technology And Smart Grid Iraklis, Phd (Associate Professor Of Data Management, Depart Varlamis

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Digital Twin Technology and Smart GridAuthor(s): Iraklis Varlamis, Antoine Bagula, Hossein Hassani\nFormat: Paperback\nPublisher: Elsevier - Health Sciences Division, United States\nImprint: Elsevier - Health Sciences Division\nISBN-13: 9780443366642, 978-0443366642\nSynopsis\nDigital Twin Technology and Smart Grid explores the intersection of these technologies that are essential for the evolution of energy systems. The book explains how it utilizes intelligent wireless sensor networks, the Internet of Things, artificial intelligence, machine learning, cloud, edge, and fog-computing to monitor power consumption. It discusses how security risks and privacy challenges can be accommodated and explains the ethical/legal implications of collecting data. As the global energy landscape moves toward greater sustainability and decentralization, digital twins present unprecedented opportunities to enhance grid efficiency, bolster resilience, and support the integration of renewable energy sou.

Digital Twin Technology And Smart Grid Iraklis, Phd (Associate Professor Of Data Management, Depart Varlamis

Digital Twin Technology and Smart GridAuthor(s): Iraklis Varlamis, Antoine Bagula, Hossein Hassani\nFormat: Paperback\nPublisher: Elsevier - Health Sciences Division, United States\nImprint: Elsevier - Health Sciences Division\nISBN-13: 9780443366642, 978-0443366642\nSynopsis\nDigital Twin Technology and Smart Grid explores the intersection of these technologies that are essential for the evolution of energy systems. The book explains how it utilizes intelligent wireless sensor networks, the Internet of Things, artificial intelligence, machine learning, cloud, edge, and fog-computing to monitor power consumption. It discusses how security risks and privacy challenges can be accommodated and explains the ethical/legal implications of collecting data. As the global energy landscape moves toward greater sustainability and decentralization, digital twins present unprecedented opportunities to enhance grid efficiency, bolster resilience, and support the integration of renewable energy sou.

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