Artificial neural networks for renewable energy systems and real-world applications

Author(s)

• Elsheikh, Ammar Hamed
• Abd Elaziz, Mohamed Elasyed

Bibliographic Information

Artificial neural networks for renewable energy systems and real-world applications

edited by Ammar H. Elsheikh, Mohamed Elasyed Abd Elaziz

Academic Press is an imprint of Elsevier, c2022

• : pbk

Note

Includes bibliographical references and index

Details

• NCID: BC17324865
• ISBN:
  • 9780128207932
• LCCN: 2023278222
• Country Code: uk
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: London
• Pages/Volumes: xiii, 272 p.
• Size: 23 cm
• Classification:
  • DC23 : 333.794
  • LCC : TJ808
• Subject Headings:
  • LCSH : Renewable energy sources
  • LCSH : Neural networks (Computer science)
  • FREE : Neural networks (Computer science) fast
  • FREE : Renewable energy sources fast