Description: Advanced Computational Techniques for Renewable Energy Systems, Paperback by Hatti, Mustapha (EDT), ISBN 3031212150, ISBN-13 9783031212154, Like New Used, Free shipping in the US In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.
Price: 272.13 USD
Location: Jessup, Maryland
End Time: 2024-10-16T18:36:07.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Advanced Computational Techniques for Renewable Energy Systems
Number of Pages: Xv, 836 Pages
Language: English
Publication Name: Advanced Computational Techniques for Renewable Energy Systems
Publisher: Springer International Publishing A&G
Publication Year: 2023
Subject: Engineering (General), Intelligence (Ai) & Semantics, Industries / Energy
Item Weight: 45.2 Oz
Type: Textbook
Item Length: 9.3 in
Author: Mustapha Hatti
Subject Area: Computers, Technology & Engineering, Business & Economics
Item Width: 6.1 in
Series: Lecture Notes in Networks and Systems Ser.
Format: Trade Paperback