LEADER 01073nam2-22003251i-450- 001 990008480440403321 005 20070625135411.0 010 $a88-230-1076-4 035 $a000848044 035 $aFED01000848044 035 $a(Aleph)000848044FED01 035 $a000848044 100 $a20070309d2005----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $a--------001yy 200 1 $a<>rinascita del sindacato$edagli scioperi del marzo 1943 e 1944 al Patto di Roma e al 1. Maggio del 1945$fFondazione Giuseppe Di Vittorio$gprefazione di Oscar Luigi Scalfaro 210 $aRoma$cEdiesse$d2005 215 $a152 p.$d20 cm 225 1 $aStoria e memoria 461 0$1001000847469$12001$a<>lavoro per la resistenza e la liberazione dell'Italia 702 1$aScalfaro,$bOscar Luigi$f<1918-2012> 712 02$aFondazione Giuseppe Di Vittorio 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008480440403321 952 $aSE120.03.48-$fDECSE 959 $aDECSE 996 $aRinascita del sindacato$9730720 997 $aUNINA LEADER 04243nam 22006855 450 001 9910806194003321 005 20240321223146.0 010 $a9783031479090 010 $a3031479092 024 7 $a10.1007/978-3-031-47909-0 035 $a(MiAaPQ)EBC31092463 035 $a(Au-PeEL)EBL31092463 035 $a(DE-He213)978-3-031-47909-0 035 $a(CKB)30114615200041 035 $a(OCoLC)1419555460 035 $a(EXLCZ)9930114615200041 100 $a20240127d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Applications for Intelligent Energy Management $eInvited Chapters from Experts on the Energy Field /$fedited by Haris Doukas, Vangelis Marinakis, Elissaios Sarmas 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (234 pages) 225 1 $aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v35 311 08$aPrint version: Doukas, Haris Machine Learning Applications for Intelligent Energy Management Cham : Springer International Publishing AG,c2024 9783031479083 327 $aAI-Powered Transformation and Decentralization of the Energy Ecosystem -- An Explainable AI-based Framework for Supporting Decisions in Energy Management -- The big data value chain for the provision of AI-enabled energy analytics services -- MODULAR BIG DATA APPLICATIONS FOR ENERGY SERVICES IN BUILDINGS AND DISTRICTS: DIGITAL TWINS, TECHNICAL BUILDING MANAGEMENT SYSTEMS AND ENERGY SAVINGS CALCULATIONS -- Neural network based approaches for fault diagnosis of photovoltaic systems -- Clustering of building stock -- BIG DATA SUPPORTED ANALYTICS FOR NEXT GENERATION ENERGY PERFORMANCE CERTIFICATES -- Synthetic data on buildings. 330 $aAs carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector. The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints. Professors, researchers, scientists, engineers, and students inenergy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research. 410 0$aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v35 606 $aComputational intelligence 606 $aElectrical engineering 606 $aArtificial intelligence 606 $aEnergy policy 606 $aEnergy policy 606 $aComputational Intelligence 606 $aElectrical and Electronic Engineering 606 $aArtificial Intelligence 606 $aEnergy Policy, Economics and Management 615 0$aComputational intelligence. 615 0$aElectrical engineering. 615 0$aArtificial intelligence. 615 0$aEnergy policy. 615 0$aEnergy policy. 615 14$aComputational Intelligence. 615 24$aElectrical and Electronic Engineering. 615 24$aArtificial Intelligence. 615 24$aEnergy Policy, Economics and Management. 676 $a006.3 700 $aDoukas$b Haris$01253627 701 $aMarinakis$b Vangelis$01591979 701 $aSarmas$b Elissaios$01065691 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910806194003321 996 $aMachine Learning Applications for Intelligent Energy Management$93907843 997 $aUNINA