LEADER 04515nam 22006495 450 001 9910683359803321 005 20251113185755.0 010 $a3-031-25662-X 024 7 $a10.1007/978-3-031-25662-2 035 $a(MiAaPQ)EBC7219836 035 $a(Au-PeEL)EBL7219836 035 $a(OCoLC)1374211863 035 $a(DE-He213)978-3-031-25662-2 035 $a(PPN)269093656 035 $a(CKB)26323399600041 035 $a(EXLCZ)9926323399600041 100 $a20230325d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Technology for Smart Environment and Energy /$fedited by Jamal Mabrouki, Azrour Mourade, Azeem  Irshad , Shehzad Ashraf  Chaudhry 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (313 pages) 225 1 $aEnvironmental Science and Engineering,$x1863-5539 311 08$aPrint version: Mabrouki, Jamal Advanced Technology for Smart Environment and Energy Cham : Springer International Publishing AG,c2023 9783031256615 320 $aIncludes bibliographical references. 327 $aIntroduction to Advanced Technology for smart environment and Energy -- Evolving Technologies: IoT and Artificial Intelligence for environment and Energy -- Smart environment and Energy Systems -- Data Science for environment and Energy Informatics -- Robotics and Process Automation Technologies for Advanced Technology for smart Energy -- Blockchain in Energy Informatics -- Bioinformatics, smart Energy to Informatics and Analytics -- Augmented Reality in smart Energy -- Security and Privacy Solutions in smart Energy -- Image Processing in Energy -- Communication Technologies for Future Smart environment and Energy -- Wireless Body Area Networks and Smart Wearable's for environment and Energy -- Future Prospects and Applications of environment and Energy. 330 $aThis book presents smart energy management in the context of energy transition. It presents the motivation, impacts and challenges related to this hot topic. Then, it focuses on the use of techniques and tools based on artificial intelligence (AI) to solve the challenges related to this problem. A global diagram presenting the general principle of these techniques is presented. Then, these techniques are compared according to a set of criteria in order to show their advantages and disadvantages with respect to the conditions and constraints of intelligent energy management applications in the context of energy transition. Several examples are used throughout the white paper to illustrate the concepts and methods presented. An intelligent electrical network (smart grid?SG) includes heterogeneous and distributed electricity production, transmission, distribution and consumption components. It is the next generation of electricity network able to manage electricity demand (consumption/production/distribution) in a sustainable, reliable and economical way taking into account the penetration of renewable energies (solar, wind, etc.). Therefore, a (SG) smart grid also includes an intelligent layer that analyzes the data provided by consumers as well as that collected from the production side in order to optimize consumption and production according to weather conditions, the profile and habits of the consumer. In addition, this system can improve the use of green energy through renewable energy penetration and demand response. 410 0$aEnvironmental Science and Engineering,$x1863-5539 606 $aEnvironmental management 606 $aRenewable energy sources 606 $aSustainability 606 $aPower resources 606 $aEnvironmental Management 606 $aRenewable Energy 606 $aSustainability 606 $aNatural Resource and Energy Economics 615 0$aEnvironmental management. 615 0$aRenewable energy sources. 615 0$aSustainability. 615 0$aPower resources. 615 14$aEnvironmental Management. 615 24$aRenewable Energy. 615 24$aSustainability. 615 24$aNatural Resource and Energy Economics. 676 $a929.374 702 $aMabrouki$b Jamal 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910683359803321 996 $aAdvanced Technology for Smart Environment and Energy$93086455 997 $aUNINA