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Springer Data Analytics for Smart Grids - AI & Smart City Development

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Description

Data Analytics for Smart Grids Applications is an essential reference work from Springer's Intelligent Systems Reference Library series (volume 247) that explores how data analytics drives smart city development through advanced grid management. This scholarly volume examines the intersection of artificial intelligence, machine learning, and smart grid infrastructure, providing comprehensive insights into transforming urban energy systems through intelligent data analysis. Ideal for researchers, engineers, and professionals working in smart city initiatives, energy management, and computational systems, this book delivers in-depth coverage of analytics techniques that optimise grid performance, enhance sustainability, and support the digital transformation of modern cities.

Key Features

Volume 247 in Springer's Intelligent Systems Reference Library, offering peer-reviewed research on smart grid data analytics.

Comprehensive coverage of how data analytics enables smart city development and urban energy infrastructure optimisation.

Published by Springer, a leading scientific publisher specialising in advanced computing and systems research.

Focuses on the application of artificial intelligence and machine learning to real-world smart grid challenges.

Essential reference for researchers, engineers, and professionals developing smart city solutions.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 November 2024
Listed Since
01 December 2024

Barcode

No barcode data available

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