LEADER 03883nam 22006015 450 001 9910253983003321 005 20220411233235.0 010 $a3-319-38764-2 024 7 $a10.1007/978-3-319-38764-2 035 $a(CKB)3710000000734722 035 $a(DE-He213)978-3-319-38764-2 035 $a(MiAaPQ)EBC4561886 035 $a(PPN)194379906 035 $a(EXLCZ)993710000000734722 100 $a20160621d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNonlinear modeling of solar radiation and wind speed time series /$fby Luigi Fortuna, Giuseppe Nunnari, Silvia Nunnari 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XV, 98 p. 57 illus., 49 illus. in color.) 225 1 $aSpringerBriefs in Energy,$x2191-5520 311 $a3-319-38763-4 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aTime-Series Methods -- Analysis of Solar-Radiation Time Series -- Analysis of Wind-Speed Time Series -- Prediction Models for Solar-Radiation and Wind-Speed Time Series -- Modeling Hourly Average Solar-Radiation Time Series -- Modeling Hourly Average Wind-Speed Time Series -- Clustering Daily Solar-Radiation Time Series -- Clustering Daily Wind-Speed Time Series -- Concluding Remarks. Appendix: List-of-Functions. 330 $aThis brief is a clear, concise description of the main techniques of time series analysis ?stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc.? as they are applied to the influence of wind speed and solar radiation on the production of electrical energy from these renewable sources. The problem of implementing prediction models is addressed by using the embedding-phase-space approach: a powerful technique for the modeling of complex systems. Readers are also guided in applying the main machine learning techniques for classification of the patterns hidden in their time series and so will be able to perform statistical analyses that are not possible by using conventional techniques. The conceptual exposition avoids unnecessary mathematical details and focuses on concrete examples in order to ensure a better understanding of the proposed techniques. Results are well-illustrated by figures and tables. 410 0$aSpringerBriefs in Energy,$x2191-5520 606 $aRenewable energy resources 606 $aPower electronics 606 $aStatistics 606 $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000 606 $aPower Electronics, Electrical Machines and Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24070 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 615 0$aRenewable energy resources. 615 0$aPower electronics. 615 0$aStatistics. 615 14$aRenewable and Green Energy. 615 24$aPower Electronics, Electrical Machines and Networks. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.55 700 $aFortuna$b Luigi$4aut$4http://id.loc.gov/vocabulary/relators/aut$0759658 702 $aNunnari$b Giuseppe$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aNunnari$b Silvia$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910253983003321 996 $aNonlinear Modeling of Solar Radiation and Wind Speed Time Series$92294355 997 $aUNINA LEADER 02735nam 2200553Ia 450 001 9910972743703321 005 20251117082411.0 010 $a1-282-70797-3 010 $a9786612707971 010 $a0-470-76803-7 035 $a(CKB)2550000000011630 035 $a(EBL)533946 035 $a(OCoLC)642206173 035 $a(MiAaPQ)EBC533946 035 $a(Au-PeEL)EBL533946 035 $a(CaPaEBR)ebr10388341 035 $a(CaONFJC)MIL270797 035 $a(OCoLC)936226562 035 $a(FINmELB)ELB179167 035 $a(EXLCZ)992550000000011630 100 $a20100330d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroducing Maya 2011 /$fDariush Derakhshani 205 $a1st ed. 210 $aIndianapolis, Ind. $cWiley Pub.$d2010 215 $a1 recurso en línea (658 p.) 225 1 $aSybex serious skills 300 $aDescription based upon print version of record. 311 08$a0-470-50216-9 320 $aIncludes bibliographical references and index. 327 $aIntroducing Maya 2011; Acknowledgments; About the Author; Contents; Introduction; Chapter 1: Introduction to Computer Graphics and 3D; Chapter 2: Jumping in Headfirst, with Both Feet; Chapter 3: The Maya 2011 Interface; Chapter 4: Beginning Polygonal Modeling; Chapter 5: Modeling with NURBS, Subdivisions, and Deformers; Chapter 6: Practical Experience; Chapter 7: Maya Shading and Texturing; Chapter 8: Introduction to Animation; Chapter 9: More Animation!; Chapter 10: Maya Lighting; Chapter 11: Maya Rendering; Chapter 12: Maya Dynamics and Effects; Appendix: About the Companion CD; Index 330 $aA practical, step-by-step guide to Maya 2011 Four previous editions can't be wrong: this book is the perfect introduction to 3D and Maya. Learn to build and animate your own digital models and scenes with step-by-step instruction and fun and practical examples, while you draw inspiration from the striking examples included from talented Maya users. You'll create a simple animation of the planets in the solar system, learn to model a human hand and a decorative box-among other projects-and master all essential tools. Provides a thorough, step-by-step introduction to Maya 201 606 $aComputer animation 606 $aThree-dimensional display systems 615 0$aComputer animation. 615 0$aThree-dimensional display systems. 676 $a006.6/96 700 $aDerakhshani$b Dariush$01617896 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910972743703321 996 $aIntroducing Maya 2011$94456317 997 $aUNINA