Big data analytics framework for smart grids /
"The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management system, artificial intelligence, and machine learning based computing....
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press,
2024.
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| Edition: | First edition. |
| Series: | Explainable AI (XAI) for engineering applications
Electrical engineering |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management system, artificial intelligence, and machine learning based computing. The book presents a detailed state-of-the-art analysis of big data analytics and its uses in power grids and describes how the big data analytics framework has been used to display energy in two scenarios including a single house and a smart grid with over thousands of smart meters. It explores the role of the internet of things, artificial intelligence, and machine learning in smart grids while also discussing edge analytics for integration of generation technologies, and decision-making approaches in detail. It further examines research limitations and presents recommendations for further research to incorporate big data analytics into power system design and operational frameworks. The text presents a comprehensive study and assessment of the state-of-the-art research and development related to unique needs of electrical utility grids, including operational technology, storage, processing, and communication systems. It further discusses important topics such as complex adaptive power system, self-healing power system, smart transmission, and distribution networks, and smart metering infrastructure. It will serve as an ideal reference text for senior undergraduate, graduate student, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology"-- |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781032665399 1032665394 9781003828006 1003828000 9781003828020 1003828027 |