£114.83

Springer Data Analytics for Smart Grids - Intelligent Systems

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Description

Explore the connection between modern energy networks and urban growth with Data Analytics for Smart Grids Applications. Published by Springer as part of the Intelligent Systems Reference Library (Volume 247), this book addresses the role of data analytics in smart city development. As cities become more connected, the ability to process and interpret data within smart grids becomes a primary requirement for efficient infrastructure. This text provides a specialized look at how intelligent systems support the evolution of smart cities through advanced grid management. It serves as a technical resource for those studying the intersection of computer science, machine learning, and energy distribution. Whether you are researching AI applications or looking for academic insights into smart city frameworks, this volume offers a focused perspective on the data-driven technologies required to manage modern power systems. This edition is part of a respected series dedicated to the advancement of intelligent systems and computational intelligence.

Key Features

Part of the Intelligent Systems Reference Library, providing a specialized academic foundation for researchers and students.

Focuses on the application of data analytics within smart grid environments to support smart city growth.

Published by Springer, a leading name in scientific and technical literature for computer science and engineering.

Covers themes relevant to AI and Machine Learning as they apply to modern energy and urban infrastructure.

Provides technical insights into how intelligent systems function as a key component of smart city development.

Product Specifications

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

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