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Big Data Analytics Framework for Smart Grids [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  1032665386
  • ISBN-10:  1032665386
  • ISBN-13:  9781032665382
  • ISBN-13:  9781032665382
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  250
  • Pages:  250
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  1032665386-11-MPOD
  • SKU:  1032665386-11-MPOD
  • Item ID: 107073777
  • Seller: ShopSpell
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  • Delivery by: Oct 10 to Oct 12
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

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

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 text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing chlC£

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