LEADER 01786nam 22005413 450 001 9910131726703321 005 20100225000000.0 035 $a(CKB)3460000000087721 035 $a(ItFiC)it 02447843 035 $a(SSID)ssj0000724859 035 $a(PQKBManifestationID)12286660 035 $a(PQKBTitleCode)TC0000724859 035 $a(PQKBWorkID)10729753 035 $a(PQKB)10509280 035 $a(EXLCZ)993460000000087721 100 $a20110322d2009 uy 0 101 0 $aita 181 $ctxt 182 $cc 183 $acr 200 10$aCorona trágica $evida y muerte de la serenísima reina de Escocia María Estuarda /$fFélix Lope de Vega ; edizione critica, indici e note a cura di Christian Giaffreda 210 $aFirenze $cAlinea$d2009 215 $a436 p. $cill. ;$d22 cm 225 0 $aSecoli d'oro Corona trâagica 225 0$aSecoli d'oro ;$v58 300 $aIncl. orig. Spanish text. 300 $aAuthor's name on t.p.: Lope de Vega. 300 $aMary (1542-1587), Queen of Scots. 320 $aIncludes bibliographical references. 517 $a"Corona trágica 517 $aCorona trágica 606 $aRomance Literatures$2HILCC 606 $aLanguages & Literatures$2HILCC 606 $aSpanish Literature$2HILCC 607 $aScotland$xHistory$yMary Stuart, 1542-1567$vPoetry 607 $aGreat Britain$xHistory$yElizabeth, 1558-1603$vPoetry 615 7$aRomance Literatures 615 7$aLanguages & Literatures 615 7$aSpanish Literature 676 $a941 676 $a861 700 $aLope de Vega$b Félix$f1562-1635.$0221921 701 $aLope de Vega$0221921 801 0$bItFiC 906 $aBOOK 912 $a9910131726703321 996 $aCorona trágica$9250436 997 $aUNINA LEADER 03867nam 22006855 450 001 9910299595803321 005 20230504012836.0 010 $a3-319-90146-X 024 7 $a10.1007/978-3-319-90146-6 035 $a(CKB)4100000003359665 035 $a(MiAaPQ)EBC5355989 035 $a(DE-He213)978-3-319-90146-6 035 $a(PPN)226697312 035 $a(EXLCZ)994100000003359665 100 $a20180420d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnergy Optimization and Prediction in Office Buildings $eA Case Study of Office Building Design in Chile /$fby Carlos Rubio-Bellido, Alexis Pérez-Fargallo, Jesús Pulido-Arcas 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (89 pages) 225 1 $aSpringerBriefs in Energy,$x2191-5539 311 $a3-319-90145-1 320 $aIncludes bibliographical references. 327 $aIntroduction -- Research Method -- Energy Demand Analysis -- Multiple Linear Regressions -- Artificial Neural Networks -- Conclusions. 330 $aThis book explains how energy demand and energy consumption in new buildings can be predicted and how these aspects and the resulting CO2 emissions can be reduced. It is based upon the authors? extensive research into the design and energy optimization of office buildings in Chile. The authors first introduce a calculation procedure that can be used for the optimization of energy parameters in office buildings, and to predict how a changing climate may affect energy demand. The prediction of energy demand, consumption and CO2 emissions is demonstrated by solving simple equations using the example of Chilean buildings, and the findings are subsequently applied to buildings around the globe. An optimization process based on Artificial Neural Networks is discussed in detail, which predicts heating and cooling energy demands, energy consumption and CO2 emissions. Taken together, these processes will show readers how to reduce energy demand, consumption and CO2 emissions associated with office buildings in the future. Readers will gain an advanced understanding of energy use in buildings and how it can be reduced. 410 0$aSpringerBriefs in Energy,$x2191-5539 606 $aSustainable architecture 606 $aEnergy policy 606 $aEnergy policy 606 $aBuildings?Design and construction 606 $aNeural networks (Computer science) 606 $aMathematical optimization 606 $aSustainable Architecture/Green Buildings 606 $aEnergy Policy, Economics and Management 606 $aBuilding Construction and Design 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aOptimization 615 0$aSustainable architecture. 615 0$aEnergy policy. 615 0$aEnergy policy. 615 0$aBuildings?Design and construction. 615 0$aNeural networks (Computer science) 615 0$aMathematical optimization. 615 14$aSustainable Architecture/Green Buildings. 615 24$aEnergy Policy, Economics and Management. 615 24$aBuilding Construction and Design. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aOptimization. 676 $a725.23 700 $aRubio-Bellido$b Carlos$4aut$4http://id.loc.gov/vocabulary/relators/aut$0998278 702 $aPérez-Fargallo$b Alexis$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPulido-Arcas$b Jesús$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299595803321 996 $aEnergy Optimization and Prediction in Office Buildings$92289776 997 $aUNINA