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Advanced Technology for Smart Environment and Energy

Title
Advanced Technology for Smart Environment and Energy [electronic resource] / edited by Jamal Mabrouki, Azrour Mourade.
ISBN
9783031508714
Edition
2nd ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (VII, 331 p.) 92 illus., 83 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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, an 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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
August 07, 2024
Series
Environmental Science and Engineering,
Environmental Science and Engineering,
Contents
Introduction to Advanced Technology for smart environment and water
IoT and energy challenge: A software perspective
Smart energy systems for a sustainable future
Energy efficient federated learning over wireless communication networks
Renewable energy forecasting data
Machine learning for advanced energy materials
Research in the field of hydrogen for advanced energy
IoT-based augmented reality mobile application for building energy monitoring
Energy security and environmental quality contribute to renewable energy
Green hydrogen energy by green nanoparticles Communication Technologies for Smart environment and Energy
Wireless energy sensor networks
Urban building energy modeling
Conclusion.
Citation

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