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Artificial Intelligence of Things for Wind Energy Systems - (Wind Energy Engineering) by Salah Kamel & Bhargav Appasani & Sunil Kumar Mishra

Artificial Intelligence of Things for Wind Energy Systems - (Wind Energy Engineering) by  Salah Kamel & Bhargav Appasani & Sunil Kumar Mishra - 1 of 1
$180.00 when purchased online
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About this item

Highlights

  • Artificial Intelligence of Things for Wind Energy Systems covers the novel concept of Artificial Intelligence (AI) combined with Internet of Things (IoT), for efficient data acquisition, analytics, and automated control, in wind energy systems.
  • Author(s): Salah Kamel & Bhargav Appasani & Sunil Kumar Mishra
  • 350 Pages
  • Science, Energy
  • Series Name: Wind Energy Engineering

Description



Book Synopsis



Artificial Intelligence of Things for Wind Energy Systems covers the novel concept of Artificial Intelligence (AI) combined with Internet of Things (IoT), for efficient data acquisition, analytics, and automated control, in wind energy systems. The book begins by introducing Artificial Intelligence of Things (AIoT), technologies, challenges, and future directions. Subsequent chapters provide in-depth coverage of specific technical areas and their applications in wind forecasting, generation, energy management, anomaly detection, digital twins, inspection of generators, recommendation systems, security concerns, and microgrid monitoring and control. Throughout the book, the information presented is supported by visuals, case studies, simulations, and code. A Volume in the Elsevier Wind Energy Engineering Series, this is a valuable resource for researchers, graduate students, engineers, operators, and other industry personnel with an interest in the use of AI and IoT in wind energy production and integration.
Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 350
Genre: Science
Sub-Genre: Energy
Series Title: Wind Energy Engineering
Publisher: Academic Press
Format: Paperback
Author: Salah Kamel & Bhargav Appasani & Sunil Kumar Mishra
Language: English
Street Date: February 1, 2026
TCIN: 1001845900
UPC: 9780443289057
Item Number (DPCI): 247-12-2443
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1 inches length x 6 inches width x 9 inches height
Estimated ship weight: 1 pounds
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