Big Data Application In Power Systems 2Nd  at Meripustak

Big Data Application In Power Systems 2Nd

Books from same Author: Reza Arghandeh Yuxun Zhou

Books from same Publisher: Elsevier

Related Category: Author List / Publisher List


  • Retail Price: ₹ 14619/- [ 5.00% off ]

    Seller Price: ₹ 13888

Sold By: T K Pandey      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 5.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 5.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)Reza Arghandeh Yuxun Zhou
    PublisherElsevier
    Edition2nd Edition
    ISBN9780443215247
    Pages448
    BindingSoftcover
    Publish YearJuly 2024

    Description

    Elsevier Big Data Application In Power Systems 2Nd by Reza Arghandeh Yuxun Zhou

    Big Data Application in Power Systems, Second Edition presents a thorough update of the previous volume, providing readers with step-by-step guidance in big data analytics utilization for power system diagnostics, operation, and control. Divided into three parts, this book begins by breaking down the big picture for electric utilities before zooming in to examine theoretical problems and solutions in detail. Finally, the third section provides case studies and applications, demonstrating solution troubleshooting and design from a variety of perspectives and for a range of technologies.Bringing back a team of global experts and drawing on fresh, emerging perspectives, this book provides cutting-edge advice for meeting today’s challenges in this rapidly accelerating area of power engineering.Readers will develop new strategies and techniques for leveraging data towards real-world outcomes.Provides a total refresh to include the most up-to-date research, developments, and challengesFocuses on practical techniques, including rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches for processing high dimensional, heterogeneous, and spatiotemporal dataEngages with cross-disciplinary lessons, drawing on the impact of intersectional technology including statistics, computer science, and bioinformaticsIncludes five brand new chapters on hot topics, ranging from uncertainty decision-making to features, selection methods, and the opportunities provided by social network data