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Springer AI2SD'2019 Volume 7 - Advanced Intelligent Systems Sustainable Development

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Description

This comprehensive volume from Springer presents cutting-edge research on advanced intelligent systems applied to sustainable development, energy, and electrical engineering. The collection features peer-reviewed papers covering virtualization techniques for mixed criticality systems, maximum power point tracking methods using Arduino, power electronics applications in photovoltaics, barriers to smart grid adoption in Morocco, and comparative studies of three-phase grid-connected photovoltaic systems using PI, PR, and fuzzy logic PI controllers with harmonic analysis. Part of the renowned Lecture Notes in Electrical Engineering series (volume 624), this book brings together contributions from leading researchers and practitioners working at the intersection of artificial intelligence, renewable energy, and sustainable engineering solutions.

Key Features

Volume 7 of the AI2SD conference proceedings focuses on advanced intelligent systems in energy and electrical engineering research.

Covers virtualization techniques for mixed criticality systems and Arduino-based maximum power point tracking implementations.

Includes comparative studies of grid-connected photovoltaic systems using PI, PR, and fuzzy logic PI controllers.

Published by Springer Nature Switzerland AG as part of Lecture Notes in Electrical Engineering series, volume 624.

Addresses practical challenges including smart grid adoption barriers and power electronics applications in photovoltaics.

Features case studies and technical analyses for researchers and engineers in sustainable development and renewable energy fields.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 January 2020
Listed Since
31 October 2019

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