null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Distributed Energy Systems (Design, Modeling, and Control)

List Price: $84.99
SKU:
9781032134253
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    Ashutosh K. Giri, Sabha Raj Arya, Dmitri Vinnikov
    Format:
    Paperback
    Pages:
    308
    Publisher:
    CRC Press (October 8, 2024)
    Language:
    English
    Audience:
    Professional and scholarly
    ISBN-13:
    9781032134253
    Weight:
    16oz
    Dimensions:
    8.25" x 11"
    File:
    TAYLORFRANCIS-TayFran_260110060646478-20260110.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $84.99
    Country of Origin:
    United States
    Pub Discount:
    30
    Series:
    Control Theory and Applications
    Case Pack:
    1
    As low as:
    $80.74
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Imprint:
    CRC Press
  • Overview

    This book provides the insight of various topology and control algorithms used for power control in distributed renewable energy power conversion systems. It covers control algorithms of power filtering including modeling and simulations, and hybrid power generation system including adaptive/model predictive/fuzzy/AI based controllers.