LEADER 00907nam0-22003131i-450- 001 990007896540403321 005 20040616100920.0 010 $a0-89671-010-6 035 $a000789654 035 $aFED01000789654 035 $a(Aleph)000789654FED01 035 $a000789654 100 $a20040616d--------km-y0itay50------ba 101 $aeng 200 1 $aNoise control solutions$efor the chemical & petroleum industry$fRichard K. Miller, Wayne V. Montone and Mark D. Oviatt 210 $aAtlanta$cFairmont$d1980 610 0 $aacustica 610 0 $arumore 676 $a620.2 700 1$aMiller,$bRichard K.$040576 701 1$aMontone ,$bWayne V.$0283522 701 1$aOviatt,$bMark D.$0283523 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007896540403321 952 $a00 D226$b1813$fDETEC 959 $aDETEC 996 $aNoise control solutions$9667710 997 $aUNINA LEADER 02493nam 22005653u 450 001 9910814184103321 005 20240430185600.0 010 $a1-77556-746-X 035 $a(CKB)3710000000076578 035 $a(EBL)432363 035 $a(OCoLC)437118400 035 $a(SSID)ssj0001165215 035 $a(PQKBManifestationID)11644701 035 $a(PQKBTitleCode)TC0001165215 035 $a(PQKBWorkID)11197969 035 $a(PQKB)10723039 035 $a(MiAaPQ)EBC432363 035 $a(EXLCZ)993710000000076578 100 $a20140804d2009|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOrlando Furioso $eThe Frenzy of Orlando 205 $a1st ed. 210 $aAuckland $cThe Floating Press$d2009 215 $a1 online resource (1850 p.) 300 $aDescription based upon print version of record. 327 $aTitle; Contents; Introduction; Canto 1; Canto 2; Canto 3; Canto 4; Canto 5; Canto 6; Canto 7; Canto 8; Canto 9; Canto 10; Canto 11; Canto 12; Canto 13; Canto 14; Canto 15; Canto 16; Canto 17; Canto 18; Canto 19; Canto 20; Canto 21; Canto 22; Canto 23; Canto 24; Canto 25; Canto 26; Canto 27; Canto 28; Canto 29; Canto 30; Canto 31; Canto 32; Canto 33; Canto 34; Canto 35; Canto 36; Canto 37; Canto 38; Canto 39; Canto 40; Canto 41; Canto 42; Canto 43; Canto 44; Canto 45; Canto 46 330 $aOrlando Furioso (""The Frenzy of Orlando"", more literally ""Mad Orlando""; in Italian furioso is seldom capitalized) is an Italian romantic epic by Ludovico Ariosto which has exerted a wide influence on later culture. The earliest version appeared in 1516, although the poem was not published in its complete form until 1532. Orlando Furioso is a continuation of Matteo Maria Boiardo's unfinished romance Orlando Innamorato (""Orlando in Love""... 606 $aLegendary character 606 $aRomance Literatures$2HILCC 606 $aLanguages & Literatures$2HILCC 606 $aItalian Literature$2HILCC 615 4$aLegendary character. 615 7$aRomance Literatures 615 7$aLanguages & Literatures 615 7$aItalian Literature 676 $a851.3 676 $a851/.3 700 $aAriosto$b Lodovico$f1474-1533.$0192228 701 $aRose$b William Stewart$0222257 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910814184103321 996 $aOrlando Furioso$93987172 997 $aUNINA LEADER 05693nam 22006255 450 001 9910303445503321 005 20200705142001.0 010 $a3-319-99052-7 024 7 $a10.1007/978-3-319-99052-1 035 $a(CKB)4100000007335162 035 $a(MiAaPQ)EBC5626873 035 $a(DE-He213)978-3-319-99052-1 035 $a(PPN)232965250 035 $a(EXLCZ)994100000007335162 100 $a20181227d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRenewable Energy: Forecasting and Risk Management $eParis, France, June 7-9, 2017 /$fedited by Philippe Drobinski, Mathilde Mougeot, Dominique Picard, Riwal Plougonven, Peter Tankov 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (252 pages) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v254 311 $a3-319-99051-9 327 $aPart I Renewable energy: modeling and forecasting -- Alain Bensoussan and Alexandre Brouste -Marginal Weibull diffusion model for wind speed modeling and short-term forecasting -- Bastien Alonzo, Riwal Plougonven, Mathilde Mougeot, Aurélie Fischer, Aurore Dupré, and Philippe Drobinski-From Numerical Weather Prediction outputs to accurate localsurface wind speed : statistical modeling and forecasts. - Mireille Bossy, Aurore Dupr´e, Philippe Drobinski, Laurent Violeau, and Christian Briard-Stochastic Lagrangian approach for wind farm simulation -- Jordi Badosa, Emmanuel Gobet, Maxime Grangereau and Daeyoung Kim-Day-ahead probabilistic forecast of solar irradiance: a Stochastic Differential Equation approach -- Mathilde Mougeot, Dominique Picard, Vincent Lefieux, Miranda Marchand-Homogeneous climate regions using learning algorithms -- Andrs Castrillejo, Jairo Cugliari, Fernando Massa, and Ignacio Ramirez- Electricity Demand Forecasting: the Uruguayan Case Eugene A. Feinberg and Jun Fei -A Flexible Mixed Additive-Multiplicative Model for Load Forecasting in a Smart Grid Setting -- Jérôme Collet and Michael Richard- A Generic Method for Density Forecasts Recalibration -- Part II Renewable energy: risk management -- Vera Silva, Miguel López-Botet Zulueta, Ye Wang, Paul Fourment,Timothee Hinchliffe, Alain Burtin, and Caroline Gatti-Bono-Technical and economic analysis of the European electricity system with 60% renewable energy sources -- Deschatre and Almut E. D. Veraart-A joint model for electricity spot prices and wind penetration with dependence in the Thomas -- James Cruise and Stan Zachary-The optimal control of storage for arbitrage and buffering, with energy applications -- Jérôme Collet, Olivier Féron, and Peter Tankov-Optimal management of a wind power plant with storage capacity.-References. 330 $aGathering selected, revised and extended contributions from the conference ?Forecasting and Risk Management for Renewable Energy FOREWER?, which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry. The different contributions explore all aspects of the energy production chain: forecasting and probabilistic modelling of renewable resources, including probabilistic forecasting approaches; modelling and forecasting of wind and solar power production; prediction of electricity demand; optimal operation of microgrids involving renewable production; and finally the effect of renewable production on electricity market prices. Written by experts in statistics, probability, risk management, economics and electrical engineering, this multidisciplinary volume will serve as a reference on renewable energy risk management and at the same time as a source of inspiration for statisticians and probabilists aiming to work on energy-related problems. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v254 606 $aMathematics 606 $aStatistics  606 $aRenewable energy resources 606 $aProbabilities 606 $aMathematics of Planet Earth$3https://scigraph.springernature.com/ontologies/product-market-codes/M36000 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 606 $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 615 0$aMathematics. 615 0$aStatistics . 615 0$aRenewable energy resources. 615 0$aProbabilities. 615 14$aMathematics of Planet Earth. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aRenewable and Green Energy. 615 24$aProbability Theory and Stochastic Processes. 676 $a621.042 702 $aDrobinski$b Philippe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMougeot$b Mathilde$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPicard$b Dominique$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPlougonven$b Riwal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTankov$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910303445503321 996 $aRenewable Energy: Forecasting and Risk Management$91563743 997 $aUNINA