國立虎尾科技大學 |

Advanced technology for smart environment and energy

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advanced technology for smart environment and energy/ edited by Jamal Mabrouki, Azrour Mourade.
other author:	Mabrouki, Jamal.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	vii, 331 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Smart power grids. -
Online resource:	https://doi.org/10.1007/978-3-031-50871-4
ISBN:	9783031508714

Advanced technology for smart environment and energy
Advanced technology for smart environment and energy[electronic resource] /edited by Jamal Mabrouki, Azrour Mourade. - Second edition. - Cham :Springer Nature Switzerland :2024. - vii, 331 p. :ill. (some col.), digital ;24 cm. - Environmental science and engineering,1863-5539. - Environmental science and engineering..

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.

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.

ISBN: 9783031508714

Standard No.: 10.1007/978-3-031-50871-4doiSubjects--Topical Terms:

874168
Smart power grids.

LC Class. No.: TK3105 / .A38 2024

Dewey Class. No.: 621.31

Advanced technology for smart environment and energy
LDR:03396nam a2200349 a 4500 001 1133868
003 DE-He213
005 20240804130637.0
006 m d
007 cr nn 008maaau
008 241213s2024 sz s 0 eng d
020 $a 9783031508714 $q (electronic bk.)
020 $a 9783031508707 $q (paper)
024 7 $a 10.1007/978-3-031-50871-4 $2 doi
035 $a 978-3-031-50871-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TK3105 $b .A38 2024
072 7 $a RN $2 bicssc
072 7 $a BUS070040 $2 bisacsh
072 7 $a RN $2 thema
082 0 4 $a 621.31 $2 23
090 $a TK3105 $b .A244 2024
245 0 0 $a Advanced technology for smart environment and energy $h [electronic resource] / $c edited by Jamal Mabrouki, Azrour Mourade.
250 $a Second edition.
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a vii, 331 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Environmental science and engineering, $x 1863-5539
505 0 $a 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.
520 $a 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.
650 0 $a Smart power grids. $3 874168
650 0 $a Green technology. $3 599463
650 0 $a Energy transition. $3 1416854
650 0 $a Renewable energy sources. $3 558536
650 1 4 $a Energy Policy, Economics and Management. $3 784769
650 2 4 $a Renewable Energy. $3 1151178
650 2 4 $a Energy Grids and Networks. $3 1387642
650 2 4 $a Natural Resource and Energy Economics. $3 1113585
700 1 $a Mabrouki, Jamal. $3 1455128
700 1 $a Mourade, Azrour. $3 1455129
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Environmental science and engineering. $3 887770
856 4 0 $u https://doi.org/10.1007/978-3-031-50871-4
950 $a Earth and Environmental Science (SpringerNature-11646)