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Big Data Analytics Framework for Smart Grids: (Explainable AI XAI for Engineering Applications)

Big Data Analytics Framework for Smart Grids: (Explainable AI XAI for Engineering Applications)

          
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About the Book

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 systems, artificial intelligence, and machine learning–based computing. Presents a detailed state-of-the-art analysis of big data analytics and its uses in power grids 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 thousands of smart meters Explores the role of the internet of things, artificial intelligence, and machine learning in smart grids Discusses edge analytics for integration of generation technologies, and decision-making approaches in detail 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 the 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 students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.

Table of Contents:
Chapter 1 Necessities of Big Data in Smart Grid ANITA DEVI NINGTHOUJAM, DIVYA ASIJA AND R K VIRAL Chapter 2 Challenges and Opportunities in the development of a Smart Grid System in the India SUMIT KUSHWAHA Chapter 3 Why Big Data for Smart Cities? SUDIKSHA SHARMA AND SACHIN SHARMA Chapter 4 Big Data for Smart Grid: A Way Forward SACHIN SHARMA AND DEVYANSHI BANSAL Chapter 5 Advanced Machine Learning Methods for Big Data Analytics used in Smart Grid R. K. VIRAL AND DIVYA ASIJA Chapter 6 Perspective of Cyber Security and Ethical Hacking with Vulnerability Assessment and Exploitation Tools DEVYANSHI BANSAL, MADHULIKA BHATIA, ANIRUDDH ATREY AND ARUN KUMAR YADAV Chapter 7 Communication and Measurement Technologies for Smart Grid VISHAL KUMAR GAUR AND SUBHO PAUL Chapter 8 Bigdata for Smart Grid: A Case Study TAHA A. TAHA, MOHD KHAIR HASSAN, NOOR IZZRI ABDUL WAHAB AND HUSSEIN I. ZAYNAL Chapter 9 Big Data and Smart Grid: Implementation based Case Study JAMEER KOTWAL, RAMGOPAL KASHYAP, AND PATHAN SHAFI Chapter 10 Big Data Analytics- A Holistic Assessment of Paradigm Shift Challenges and Opportunities for Future Smart Grid DIVYA ASIJA AND R. K. VIRAL


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Product Details
  • ISBN-13: 9781032665382
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Height: 234 mm
  • No of Pages: 232
  • Width: 156 mm
  • ISBN-10: 1032665386
  • Publisher Date: 29 Sep 2025
  • Binding: Paperback
  • Language: English
  • Series Title: Explainable AI XAI for Engineering Applications


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