LEADER 05281nam 22007335 450 001 9910407726003321 005 20250609110731.0 010 $a3-030-42726-9 010 $a9783030427269$b(eBook) 024 7 $a10.1007/978-3-030-42726-9 035 $a(CKB)5310000000016572 035 $a(MiAaPQ)EBC6232207 035 $a(DE-He213)978-3-030-42726-9 035 $a(PPN)248597744 035 $a(MiAaPQ)EBC6231790 035 $a(EXLCZ)995310000000016572 100 $a20200619h20202020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence Techniques for a Scalable Energy Transition $eAdvanced Methods, Digital Technologies, Decision Support Tools, and Applications /$fMoamar Sayed-Mouchaweh, editor 210 1$aCham :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (383 pages) $cillustrations 311 08$a3-030-42725-0 311 08$a9783030427252 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Definition, motivation and impact of digitalization in energy transition -- Definition of a general scheme (layers) of a digitalized system in energy transition -- Challenges of digitalization in energy transition -- Artificial Intelligence for energy transition -- General principals and classification of Artificial Intelligence techniques for energy transition -- Artificial Intelligence for Smart Energy Management -- Smart energy management (intrusive and non-intrusive load monitoring) -- Artificial Intelligence for Cyber Security and Privacy -- Artificial Intelligence for Mobility and Electrical Vehicles -- Mobility and electrical vehicles -- Artificial Intelligence for Micro Grid Operations and Dynamic Pricing Revenue Management -- Micro Grid operations and Dynamic Pricing Revenue Management -- Artificial Intelligence for Renewable Energy Penetration and Demand Side Management -- Renewable Energy Penetration and Demand Side Management -- Emerging Trends, Open problems, and Future Challenges -- Conclusion. 330 $aThis book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.). Uses examples and applications to facilitate the understanding of AI techniques for scalable energy transitions Includes examples, problems, and techniques in order to increase transparency and understanding of the methodological concepts Dedicated to researchers, practitioners, and operators working with industrial systems. 606 $aArtificial intelligence$xEngineering applications 606 $aPower resources$xData processing 606 $aElectrical engineering 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aData mining 606 $aBig data 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 615 0$aArtificial intelligence$xEngineering applications. 615 0$aPower resources$xData processing. 615 0$aElectrical engineering. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aBig data. 615 14$aCommunications Engineering, Networks. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aBig Data/Analytics. 676 $a363.70028563 702 $aSayed-Mouchaweh$b Moamar$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910407726003321 996 $aArtificial Intelligence Techniques for a Scalable Energy Transition$92201456 997 $aUNINA