IoT Enabled Multi-Energy Systems

From Isolated Energy Grids to Modern Interconnected Networks

de

, , ,

Éditeur :

Academic Press


Paru le : 2023-02-20



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
151,92

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems.
Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more. Reviews core applications of IoT technologies in grid modernization of multi-energy networks Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources

Elsevier Science & Technology
Pages
190 pages
Collection
n.c
Parution
2023-02-20
Marque
Academic Press
EAN papier
9780323954211
EAN PDF
9780323957809

Informations sur l'ebook
Nombre pages copiables
19
Nombre pages imprimables
19
Taille du fichier
5356 Ko
Prix
151,92 €
EAN EPUB SANS DRM
9780323957809

Prix
151,92 €

Suggestions personnalisées