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This proposed book covers the issues associated in smart systems
due to the presence of onboard nonlinear components. It discusses
the advanced architecture of smart system for power management
unit. It explores the issues in power management and identifies the
hazardous signal in power management unit of smart devices.
Presents adaptive artificial intelligence and machine
learning-based control strategies. Discusses advanced simulations
and data synthesis for various power management issues. Showcases
solutions to the uncertainty and reliability issues in power
management units. Identifies new power quality challenges in smart
devices. Explains hybrid active power filter, shunt hybrid active
power filter, and industrial internet of things in power quality
management. The book comprehensively discusses advancements of
traditional electrical grid, benefit of smart grid to customers,
benefit of smart grid to stakeholders, properties of smart grid,
smart grid architecture, smart grid communication, and smart grid
security. It further covers architecture of advance power
management units (PMU) of smart devices, and identification of
harmonic distortions with respect to various sensor-based
technology. It will serve as an ideal reference text for senior
undergraduate, graduate students, and academic researchers in the
fields including electrical engineering, electronics, and
communications engineering, and computer engineering.
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