Smart Grids as Cyber Physical Systems, 2 Volume Se t Swathika Hardback
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Smart Grids as Cyber Physical Systems, 2 Volume SetAuthor(s): O. V. Gnana Swathika, K. Karthikeyan, P. Sanjeevikumar\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: Wiley-Scrivener\nISBN-13: 9781394261697, 978-1394261697\nSynopsis\nSmart Grids as Cyber Physical Systems, a new two-volume set from Wiley-Scrivener, provides a comprehensive overview of the fundamental security of supervisory control and data acquisition (SCADA) systems, offering clarity on specific operating and security issues that may arise that deteriorate the overall operation and efficiency of smart grid systems. It also provides techniques to monitor and protect systems, as well as aids for designing a threat-free system. This title discusses how artificial intelligence (AI) may be extensively deployed in the prediction of energy generation, electric grid-related line loss prediction, load forecasting, and for predicting equipment failure prevention. It also discusses power generati.
Smart Grids as Cyber Physical Systems, 2 Volume Se t Swathika Hardback
Smart Grids as Cyber Physical Systems, 2 Volume SetAuthor(s): O. V. Gnana Swathika, K. Karthikeyan, P. Sanjeevikumar\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: Wiley-Scrivener\nISBN-13: 9781394261697, 978-1394261697\nSynopsis\nSmart Grids as Cyber Physical Systems, a new two-volume set from Wiley-Scrivener, provides a comprehensive overview of the fundamental security of supervisory control and data acquisition (SCADA) systems, offering clarity on specific operating and security issues that may arise that deteriorate the overall operation and efficiency of smart grid systems. It also provides techniques to monitor and protect systems, as well as aids for designing a threat-free system. This title discusses how artificial intelligence (AI) may be extensively deployed in the prediction of energy generation, electric grid-related line loss prediction, load forecasting, and for predicting equipment failure prevention. It also discusses power generati.
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