Intelligent and soft computing systems for green energy

• Titel: Intelligent and soft computing systems for green energy
• Mitwirkende: Chitra, A. [HerausgeberIn]
• Mitwirkende: Indragandhi, V. [HerausgeberIn]
• Mitwirkende: Razia Sultana, W. [HerausgeberIn]
• Verf.angabe: edited by A. Chitra, V. Indragandhi and W. Razia Sultana
• Verlagsort: Hoboken, NJ ; Beverly, MA
• Verlag: Scrivener Publishing LLC
• Jahr: 2023
• Umfang: 1 online resource (xvii, 348 pages)
• Illustrationen: illustrations (chiefly color)
• Fussnoten: Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on May 19, 2023)
• ISBN: 978-1-394-16752-4
• ISBN: 1-394-16752-0
• ISBN: 978-1-394-16751-7
• ISBN: 1-394-16751-2
• ISBN: 978-1-394-16637-4
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1850985235
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4343658546
• Lokale URL Inst.: Zum Volltext

Abstract

INTELLIGENT AND SOFT COMPUTING SYSTEMS FOR GREEN ENERGY Written and edited by some of the world's top experts in the field, this exciting new volume provides state-of-the-art research and the latest technological breakthroughs in next-generation computing systems for the energy sector, striving to bring the science toward sustainability. Real-world problems need intelligent solutions. Across many industries and fields, intelligent and soft computing systems, using such developing technologies as artificial intelligence and Internet of Things, are quickly becoming important tools for scientists, engineers, and other professionals for solving everyday problems in practical situations. This book aims to bring together the research that has been carried out in the field of intelligent and soft computing systems. Intelligent and soft computing systems involves expertise from various domains of research, such as electrical engineering, computer engineering, and mechanical engineering. This book will serve as a point of convergence wherein all these domains come together. The various chapters are configured to address the challenges faced in intelligent and soft computing systems from various fields and possible solutions. The outcome of this book can serve as a potential resource for industry professionals and researchers working in the domain of intelligent and soft computing systems. To list a few soft computing techniques, neural-based load forecasting, IoT-enabled smart grids, and blockchain technology for energy trading. Whether for the veteran engineer or the student learning the latest breakthroughs, this exciting new volume is a must-have for any library.