Merkzetterl
Das Merkzetterl ist leer.
Das Einkaufssackerl ist leer.
Kostenloser Versand möglich
Kostenloser Versand möglich
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

AI-Powered IoT in the Energy Industry

Digital Technology and Sustainable Energy Systems
BuchGebunden
Verkaufsrang21862inTechnik
EUR197,99

Beschreibung

AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties.
Covers renewable energy sector fundamentals;Explains the application of big data in distributed energy domains;Discusses AI and IoT prediction methods and models.






Weitere Beschreibungen

Details

ISBN/EAN978-3-031-15043-2
ProduktartBuch
EinbandGebunden
Erscheinungsdatum06.04.2023
Auflage2023
Seiten328 Seiten
SpracheEnglisch
Artikel-Nr.17617384
WarengruppeTechnik
Weitere Details

Reihe

Unser Service

  • ÖSTERREICHWEIT VERSANDKOSTENFREI FÜR BESTELLUNG AB 20 EUR!
  • Filialverfügbarkeit ist bei lagernden Titeln ersichtlich
  • Abholung in einer unserer Buchhandlungen
  • 30 Tage Rücktrittsrecht

Lieferbarkeit

Der angebotene Artikel ist in der Regel innerhalb 48 Stunden versandfertig. Sollte es wider Erwarten nicht so sein, erhalten Sie eine Benachrichtigung.
Achtung Schulartikel (Lehrbücher/Lösungshefte) können eine längere Lieferzeit haben.

Bewertungen

Autor

Dr. S. Vijayalakshm is an Associate Professor in the Department of Data Science at Christ University, India. She served as an Assistant Professor from 1998 to 2013 in the Department of Computer Science and Applications, Gandhigram Rural Institute - Deemed University, India, and in the School of Computing Science and Engineering, Galgotias University, India, from 2013 to 2021. She received her Bachelor's degree in Computer Science in 1995 and Master of Computer Application degree in 1998 from Bharathidasan University, India. She completed her Master of Philosophy in 2006. Dr. Vijayalakshm received her Ph.D. in 2014 from Mother Teresa Women's University, India. Her research area is on image processing and IoT. She has contributed papers to many international and national level conferences and reputed journals, and has published several book chapters. She is also a member of many academic bodies such as IFERP.
Dr. Savita Dahiya is a researcher at the School of Computing Science and Engineering, Galgotias University, India. She received a Bachelor of Arts degree from Hindu Girls College, India, in 2007, a Master of Computer Applications degree from SBIT College, India, in 2010, and her Ph.D. from the School of Computing Science and Engineering, Galgotias University. She has published many research papers in the area of medical image processing in international and national conference proceedings and reputed journals, has contributed several book chapters, and serves as a member of many academic committees.
Dr. Balamurugan Balusamy is a Professor and Chief Research Coordinator in the School of Computing Science and Engineering, Galgotias University, India. Prior to his current position, he spent 12 years as a member of the faculty at VIT University, India. He has authored or edited more than 30 books on various technologies, has published over 150 journal articles, conference papers, and book chapters, given over 175 talks at events and symposiums, and visited numerous countries for his technical course. He serves on advisory committees for several startups and forums and does consultancy work on Industrial IoT. His research interests focus on engineering education, blockchain, and data sciences.
Dr. Rajesh Kumar Dhanaraj is an Associate Professor in the School of Computing Science and Engineering, Galgotias University, India. He holds a Ph.D. degree in Information and Communication Engineering from Anna University, India. He has contributed to more than 20 books on various technologies and over 35 articles and papers in various refereed journals and international conference proceedings. His research interests include machine learning, cyber-physical systems, and wireless sensor networks. He is an Expert Advisory Panel Member with Texas Instruments Inc., USA.

Weitere Produkte von Dhanaraj, Rajesh Kumar

Hrsg.

Weitere Produkte von Balusamy, Balamurugan

Hrsg.