Advanced Technology for Smart Environment and Energy

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Éditeur :

Springer


Collection :

Environmental Science and Engineering

Paru le : 2023-03-25

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Description
This book presents smart energy management in the context of energy transition. It presents the motivation, impacts and challenges related to this hot topic. Then, it focuses on the use of techniques and tools based on artificial intelligence (AI) to solve the challenges related to this problem. A global diagram presenting the general principle of these techniques is presented. Then, these techniques are compared according to a set of criteria in order to show their advantages and disadvantages with respect to the conditions and constraints of intelligent energy management applications in the context of energy transition. Several examples are used throughout the white paper to illustrate the concepts and methods presented. 
An intelligent electrical network (smart grid—SG) includes heterogeneous and distributed electricity production, transmission, distribution and consumption components. It is the next generation of electricity network able to manage electricity demand (consumption/production/distribution) in a sustainable, reliable and economical way taking into account the penetration of renewable energies (solar, wind, etc.). Therefore, a (SG) smart grid also includes an intelligent layer that analyzes the data provided by consumers as well as that collected from the production side in order to optimize consumption and production according to weather conditions, the profile and habits of the consumer. In addition, this system can improve the use of green energy through renewable energy penetration and demand response.
Pages
320 pages
Collection
Environmental Science and Engineering
Parution
2023-03-25
Marque
Springer
EAN papier
9783031256615
EAN PDF
9783031256622

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
7946 Ko
Prix
94,94 €
EAN EPUB
9783031256622

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
45875 Ko
Prix
94,94 €