AI-Powered IoT in the Energy Industry

Digital Technology and Sustainable Energy Systems de

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Éditeur :

Springer


Paru le : 2023-04-05

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189,89

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Description


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.

 

 

Pages
311 pages
Collection
n.c
Parution
2023-04-05
Marque
Springer
EAN papier
9783031150432
EAN PDF
9783031150449

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
14131 Ko
Prix
189,89 €
EAN EPUB
9783031150449

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
45455 Ko
Prix
189,89 €

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