LEADER 01408nam0-2200457---450- 001 990002688350203316 005 20051123115916.0 010 $a88-7818-798-4 035 $a000268835 035 $aUSA01000268835 035 $a(ALEPH)000268835USA01 035 $a000268835 100 $a20051122d2000----km-y0itay0103----ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $a1: Dall'età romantica alla società industriale$fa cura di Ferdinando Abbri... [et al.] 210 $aMilano$cTEA$d2000 215 $aXX, 502 p.$d20 cm 225 $aFa parte della storia della scienza moderna e contemporanea 410 0$12001 454 1$12001 461 1$1001-------$12001 606 0 $aScienze pure$xTrattamento storico e geografico 676 $a509 702 1$aROSSI,$bPaolo 801 0$aIT$bsalbc$gISBD 912 $a990002688350203316 951 $aI/D 531$b2154 DIC 959 $aBK 969 $aDIC 979 $aDIC$b10$c20051122$lUSA01$h1232 979 $aDIC$b10$c20051122$lUSA01$h1235 979 $aDIC$b10$c20051122$lUSA01$h1254 979 $aDIC$b10$c20051122$lUSA01$h1257 979 $aDIC$b10$c20051123$lUSA01$h1053 979 $aDIC$b10$c20051123$lUSA01$h1055 979 $aDIC$b10$c20051123$lUSA01$h1114 979 $aDIC$b10$c20051123$lUSA01$h1159 996 $a1: Dall'età romantica alla società industriale$91003036 997 $aUNISA LEADER 03587nam 22005535 450 001 9911015685503321 005 20250703130250.0 010 $a981-9781-32-9 024 7 $a10.1007/978-981-97-8132-4 035 $a(MiAaPQ)EBC32196075 035 $a(Au-PeEL)EBL32196075 035 $a(CKB)39578210000041 035 $a(DE-He213)978-981-97-8132-4 035 $a(EXLCZ)9939578210000041 100 $a20250703d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRenewable Power System Optimization /$fby Jiajia Chen, Yuanzheng Li 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (292 pages) 225 1 $aSmart Energy Systems,$x3059-4367 311 08$a981-9781-31-0 327 $aIntroduction for renewable power system optimization -- Distributionally Robust Unit Commitment with Enhanced Sisjointed Layered Ambiguity Set -- Downside Risk to Low-carbon Multi-energy System Optimization -- Multi-step Reconfiguration with Many-objective Reduction for Renewable Distribution System -- Credibility Theory Based Fuzzy Chance Constrained AC OPF for Renewable Power System -- Multi-energy Hub Optimization to Enhance Resilience of Renewable Agricultural Microgrid -- Continuous-time Optimization to Improve Demand Defense of Renewable Industrial Park -- Random Clustering and Dynamic Recognition Strategy for Energy Storage System Optimization -- Mobile Energy Storage System Optimization with Peer-to-peer for Resilience Improvement. 330 $aThis book investigates in detail renewable power system optimization (RPSO) technology, exploring its potential us to accommodate intermittent, random, and fluctuating renewable energy from the aspects of power supply side, power grid side, demand side and energy storage. RPSO delves into the interdisciplinary field of sustainable energy systems, offering a comprehensive exploration of methodologies and strategies to maximize the efficiency, reliability, and resilience of renewable power systems. Studies on RPSO have attracted engineers and scientists from various disciplines, such as electrical, computer, transportation, control and management science. The book integrates theoretical frameworks, computational techniques, and practical case studies, which caters to a diverse readers including researchers, engineers, policymakers, and graduate students specializing in renewable energy, electrical engineering, environmental science, and related disciplines. It is particularly beneficial for those seeking to enhance the efficiency, reliability, and resilience of renewable power systems in the face of evolving energy transition challenges. 410 0$aSmart Energy Systems,$x3059-4367 606 $aElectric power distribution 606 $aOperations research 606 $aManagement science 606 $aEnergy Grids and Networks 606 $aOperations Research, Management Science 615 0$aElectric power distribution. 615 0$aOperations research. 615 0$aManagement science. 615 14$aEnergy Grids and Networks. 615 24$aOperations Research, Management Science. 676 $a321.319 700 $aChen$b Jiajia$01833769 701 $aLi$b Yuanzheng$01370159 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015685503321 996 $aRenewable Power System Optimization$94408725 997 $aUNINA