04566nam a22005895i 4500 978-3-031-50871-4 DE-He213 20251030112709.0 cr nn 008mamaa 240803s2024 sz | s |||| 0|eng d 9783031508714 978-3-031-50871-4 10.1007/978-3-031-50871-4 doi HD9502-9502.5 RN bicssc BUS070040 bisacsh RN thema Advanced Technology for Smart Environment and Energy [electronic resource] / edited by Jamal Mabrouki, Azrour Mourade. 2nd ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VII, 331 p. 92 illus., 83 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Environmental Science and Engineering, 1863-5539 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. Energy policy. 61992 Energy and state. 66460 Renewable energy sources. 58133 Electric power distribution. 66068 Power resources. 62154 Energy Policy, Economics and Management. 66461 Renewable Energy. 64206 Energy Grids and Networks. 66069 Natural Resource and Energy Economics. 68780 Mabrouki, Jamal. editor. edt http://id.loc.gov/vocabulary/relators/edt 71261 Mourade, Azrour. editor. edt http://id.loc.gov/vocabulary/relators/edt 76750 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031508707 Printed edition: 9783031508721 Printed edition: 9783031508738 Environmental Science and Engineering, 1863-5539 18076 https://doi.org/10.1007/978-3-031-50871-4 ZDB-2-EES ZDB-2-SXEE 62217 62217