LEADER 02857nam 2200469 450 001 9910659480703321 005 20230513230406.0 010 $a9783031212161$b(electronic bk.) 010 $z9783031212154 024 7 $a10.1007/978-3-031-21216-1 035 $a(MiAaPQ)EBC7201594 035 $a(Au-PeEL)EBL7201594 035 $a(CKB)26155082300041 035 $a(DE-He213)978-3-031-21216-1 035 $a(PPN)268207054 035 $a(EXLCZ)9926155082300041 100 $a20230513d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvanced computational techniques for renewable engergy systems /$fedited by Mustapha Hatti 205 $a1st ed. 2023. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (844 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v591 311 08$aPrint version: Hatti, Mustapha Advanced Computational Techniques for Renewable Energy Systems Cham : Springer International Publishing AG,c2023 9783031212154 320 $aIncludes bibliographical references and index. 330 $aIn this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v591 606 $aArtificial intelligence 615 0$aArtificial intelligence. 676 $a060 702 $aHatti$b Mustapha 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910659480703321 996 $aAdvanced computational techniques for renewable engergy systems$93363977 997 $aUNINA