LEADER 01223nam 2200421 450 001 9910467541203321 005 20200520144314.0 010 $a1-4166-2474-0 035 $a(CKB)4340000000209196 035 $a(MiAaPQ)EBC5107637 035 $a(Au-PeEL)EBL5107637 035 $a(CaPaEBR)ebr11456633 035 $a(OCoLC)1002692936 035 $a(EXLCZ)994340000000209196 100 $a20171118h20182018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aEveryday problem-based learning $equick projects to build problem-solving fluency /$fBrian Pete, Robin Fogarty 210 1$aAlexandria, Virginia :$cASCD,$d2018. 210 4$d©2018 215 $a1 online resource (136 pages) $cillustrations 311 $a1-4166-2472-4 606 $aProblem-based learning 608 $aElectronic books. 615 0$aProblem-based learning. 676 $a371.39 700 $aPete$b Brian M.$0855250 702 $aFogarty$b Robin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910467541203321 996 $aEveryday problem-based learning$92193817 997 $aUNINA LEADER 01233nam0 2200337 i 450 001 RAV0236282 005 20231121125640.0 010 $a8871681061 020 $aIT$b97-1274s 100 $a20161114d1994 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $a˜Il œperché di tutto sommato$fQuim Monzó$gtraduzione di Gina Maneri 210 $aMilano$cMarcos y Marcos$d1994 215 $a147 p.$d18 cm. 225 | $a˜Le œfoglie$v35 410 0$1001RAV0089842$12001 $a˜Le œfoglie$v35 500 10$a˜El œperquè de tot plegat.$3RAV0240309$9LO1V135267$9483349 700 1$aMonzó$b, Quim$3LO1V135267$4070$0423929 702 1$aManeri$b, Gina$3CFIV109312 790 1$aMonzó$b, Joaquim$3RAVV087909$zMonzó, Quim 801 3$aIT$bIT-01$c20161114 850 $aIT-FR0017 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 912 $aRAV0236282 950 0$aBiblioteca umanistica Giorgio Aprea$d 52CIS 10/1786$e 52VM 0000691845 VM barcode:67435-10. - Inventario:9275 FLSVM$fA $h20070606$i20121204 977 $a 52 996 $aPerqué de tot plegat$9483349 997 $aUNICAS LEADER 04708nam 2201081z- 450 001 9910557427903321 005 20210501 035 $a(CKB)5400000000043445 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68491 035 $a(oapen)doab68491 035 $a(EXLCZ)995400000000043445 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAssessment of Renewable Energy Resources with Remote Sensing 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (244 p.) 311 08$a3-0365-0480-X 311 08$a3-0365-0481-8 330 $aThe book "Assessment of Renewable Energy Resources with Remote Sensing" focuses on disseminating scientific knowledge and technological developments for the assessment and forecasting of renewable energy resources using remote sensing techniques. The eleven papers inside the book provide an overview of remote sensing applications on hydro, solar, wind and geothermal energy resources and their major goal is to provide state of art knowledge to contribute with the renewable energy resource deployment, especially in regions where energy demand is rapidly expanding. Renewable energy resources have an intrinsic relationship with local environmental features and the regional climate. Even small and fast environment and/or climate changes can cause significant variability in power generation at different time and space scales. Methodologies based on remote sensing are the primary source of information for the development of numerical models that aim to support the planning and operation of an electric system with a substantial contribution of intermittent energy sources. In addition, reliable data and knowledge on renewable energy resource assessment are fundamental to ensure sustainable expansion considering environmental, financial and energetic security. 606 $aResearch & information: general$2bicssc 610 $aartificial neural networks 610 $aBaltic area 610 $aclimate 610 $acloud 610 $acloud coverage 610 $acloud detection 610 $acoastal wind measurements 610 $acoastline 610 $acomputational design method 610 $aconvection 610 $aCSP plants 610 $adata processing 610 $adigitized image processing 610 $aelectrical resistivity tomography 610 $aextreme value analysis 610 $afeature engineering 610 $afeature importance 610 $aforecasting 610 $ageophysical prospecting 610 $ageothermal energy 610 $aGES-CAL software 610 $aglobal radiation 610 $agraphical user interface software 610 $aHazaki Oceanographical Research Station 610 $ahydropower reservoir 610 $aimage processing 610 $alake breeze influence 610 $alight gradient boosting machine 610 $amachine learning 610 $amachine learning techniques 610 $ametaheuristic 610 $amultistep-ahead prediction 610 $aparameter extraction 610 $apassive design strategy 610 $aphotovoltaic power plant 610 $aplan position indicator 610 $apoint cloud data 610 $apotential well field location 610 $aremote sensing 610 $aremote sensing data acquisition 610 $arenewable energy resource assessment and forecasting 610 $asatellite 610 $ascanning LiDAR 610 $ascatterometer 610 $ashading envelopes 610 $asky camera 610 $asmart island 610 $asolar energy 610 $asolar energy resource 610 $asolar irradiance enhancement 610 $asolar irradiance estimation 610 $asolar irradiance forecasting 610 $asolar photovoltaic 610 $asolar radiation forecasting 610 $astatistical analysis 610 $asurface solar radiation 610 $atime domain electromagnetic method 610 $atotal sky imagery 610 $avelocity volume processing 610 $avoxel-design approach 610 $awhale optimization algorithm 610 $awind speed 615 7$aResearch & information: general 700 $aMartins$b Fernando Ramos$4edt$01297532 702 $aMartins$b Fernando Ramos$4oth 906 $aBOOK 912 $a9910557427903321 996 $aAssessment of Renewable Energy Resources with Remote Sensing$93024506 997 $aUNINA