Vi bøger
Levering: 1 - 2 hverdage

AI-Powered IoT in the Energy Industry - S. Vijayalakshmi - Bog

Bag om AI-Powered IoT in the Energy Industry

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.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031150432
  • Indbinding:
  • Hardback
  • Sideantal:
  • 328
  • Udgivet:
  • 6. April 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 160x24x241 mm.
  • Vægt:
  • 658 g.
  • 2-3 uger.
  • 28. Maj 2024
På lager

Normalpris

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af AI-Powered IoT in the Energy Industry

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.

Brugerbedømmelser af AI-Powered IoT in the Energy Industry



Gør som tusindvis af andre bogelskere

Tilmeld dig nyhedsbrevet og få gode tilbud og inspiration til din næste læsning.