Artificial Intelligence Techniques for a Scalable Energy Transition...
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Artificial Intelligence Techniques for a Scalable Energy Transition

Advanced Methods, Digital Technologies, Decision Support Tools, and Applications

Moamar Sayed-Mouchaweh

  • Springer

  • Publication date : 2020-06-19

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This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.).

About the book
Author
Moamar  Sayed-Mouchaweh
Imprint
Springer
Collection
n.c
Publication date
2020-06-19
Pages
382 pages
Print ISBN
9783030427252
Language
English
Ebook informations
EAN PDF
9783030427269
Price
£109.50
Read more
Copy count 3
Print count 38
File size 19292 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9783030427269
Price
£109.50
Read more
Copy count 3
Print count 38
File size 36454 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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About author(s)


Defaut-Illustration Moamar Sayed-Mouchaweh

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