LEADER 01039nam a22002895i 4500 001 991002232759707536 007 cr nn 008mamaa 008 121227s1989 gw | s |||| 0|eng d 020 $a9783540468257 035 $ab14141917-39ule_inst 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematica$beng 082 04$a511.3$223 084 $aAMS 03F 100 1 $aPohlers, Wolfram$056702 245 10$aProof theory$h[e-book] :$ban introduction /$cby Wolfram Pohlers 260 $aBerlin :$bSpringer,$c1989 300 $a1 online resource (viii, 220 p.) 440 0$aLecture Notes in Mathematics,$x0075-8434 ;$v1407 650 0$aMathematics 650 0$aLogic, Symbolic and mathematical 773 0 $aSpringer eBooks 856 40$uhttp://dx.doi.org/10.1007/978-3-540-46825-7$zAn electronic book accessible through the World Wide Web 907 $a.b14141917$b03-03-22$c05-09-13 912 $a991002232759707536 996 $aProof theory$981534 997 $aUNISALENTO 998 $ale013$b05-09-13$cm$d@ $e-$feng$ggw $h0$i0 LEADER 02714nam 22004813a 450 001 9910476768803321 005 20230804155000.0 010 $a9781838805463 010 $a183880546X 024 8 $ahttp://dx.doi.org/10.5772/intechopen.85999 035 $a(CKB)5490000000052505 035 $a(ScCtBLL)f5aaa381-0876-428d-8991-f2ae3f6061bd 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/29934 035 $a(MiAaPQ)EBC30390421 035 $a(Au-PeEL)EBL30390421 035 $a(Perlego)2026798 035 $a(oapen)doab29934 035 $a(EXLCZ)995490000000052505 100 $a20211214i20202020 uu 101 0 $aeng 135 $auru|||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems$fFouzi Harrou, Ying Sun 205 $a1st ed. 210 $d2020 210 1$a[s.l.] :$cIntechOpen,$d2020. 215 $a1 online resource (1 p.) 330 $aFault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems. 606 $aTechnology & Engineering / Power Resources / Alternative & Renewable$2bisacsh 606 $aTechnology 615 7$aTechnology & Engineering / Power Resources / Alternative & Renewable 615 0$aTechnology. 700 $aHarrou$b Fouzi$4edt$01364177 702 $aHarrou$b Fouzi 702 $aSun$b Ying 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910476768803321 996 $aAdvanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems$93385331 997 $aUNINA