Artificial Intelligence Techniques for a Scalable Energy Transition - Advanced Methods, Digital Technologies, Decision Support Tools, and Applications (Paperback, 1st ed. 2020)

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.).

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	June 2021
First published:	2020
Editors:	Moamar Sayed-Mouchaweh
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	382
Edition:	1st ed. 2020
ISBN-13:	978-3-03-042728-3
Categories:	Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-042728-5
Barcode:	9783030427283

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