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020 _a9783031508714
_9978-3-031-50871-4
024 7 _a10.1007/978-3-031-50871-4
_2doi
050 4 _aHD9502-9502.5
072 7 _aRN
_2bicssc
072 7 _aBUS070040
_2bisacsh
072 7 _aRN
_2thema
245 1 0 _aAdvanced Technology for Smart Environment and Energy
_h[electronic resource] /
_cedited by Jamal Mabrouki, Azrour Mourade.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aVII, 331 p. 92 illus., 83 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEnvironmental Science and Engineering,
_x1863-5539
505 0 _aIntroduction 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 _aThis 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 _aEnergy policy.
_961992
650 0 _aEnergy and state.
_966460
650 0 _aRenewable energy sources.
_958133
650 0 _aElectric power distribution.
_966068
650 0 _aPower resources.
_962154
650 1 4 _aEnergy Policy, Economics and Management.
_966461
650 2 4 _aRenewable Energy.
_964206
650 2 4 _aEnergy Grids and Networks.
_966069
650 2 4 _aNatural Resource and Energy Economics.
_968780
700 1 _aMabrouki, Jamal.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_971261
700 1 _aMourade, Azrour.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_976750
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031508707
776 0 8 _iPrinted edition:
_z9783031508721
776 0 8 _iPrinted edition:
_z9783031508738
830 0 _aEnvironmental Science and Engineering,
_x1863-5539
_918076
856 4 0 _uhttps://doi.org/10.1007/978-3-031-50871-4
912 _aZDB-2-EES
912 _aZDB-2-SXEE
999 _c62217
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