LEADER 01859nam 2200409Ia 450 001 996395094403316 005 20221107205247.0 035 $a(CKB)4330000000318504 035 $a(EEBO)2248557381 035 $a(OCoLC)12251624 035 $a(EXLCZ)994330000000318504 100 $a19850710d1642 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe [French-man] and the Spaniard, or, [The two great lights] of the world, displayed in lively [characters] representing the antipathy of their humours and different dispositions$b[electronic resource] $e[with an impartiall survey] of the customes of both those nations /$fby R.G., Gent 210 $aLondon $cPrinted for [Humphrey Moseley] ...$d[1642] 215 $a[271] p 300 $aTranslation of: Oposicion y conjuncion de los dos grandes luminares de la tierra. 300 $aAdded illustrated t.p., engraved: The antipathy betweene the French and Spaniard / Englished by Robert Gentilys. [London] : Sold by R. Martine ..., 1641. 300 $aAttributed to Carlos Garcia. Cf. Wing (2nd ed.). 300 $aReproduction of original in Harvard University Libraries. 300 $aImperfect: segments of the t.p. are missing. 330 $aeebo-0062 606 $aNational characteristics, French 606 $aNational characteristics, Spanish 615 0$aNational characteristics, French. 615 0$aNational characteristics, Spanish. 700 $aGarci?a$b Carlos$cdoctor.$0744235 701 $aGentilis$b Robert$01011101 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bWaOLN 906 $aBOOK 912 $a996395094403316 996 $aThe and the Spaniard, or, The two great lights of the world, displayed in lively characters representing the antipathy of their humours and different dispositions$92414016 997 $aUNISA LEADER 04554nam 2201249z- 450 001 9910557297703321 005 20210501 035 $a(CKB)5400000000041062 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69162 035 $a(oapen)doab69162 035 $a(EXLCZ)995400000000041062 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (280 p.) 311 08$a3-03943-200-1 311 08$a3-03943-201-X 330 $aThis book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and systems; PV modeling; reconfiguration algorithms; fault diagnosis; mismatching detection; decision processes for grid operators. 606 $aHistory of engineering and technology$2bicssc 610 $aadaptive neuro-fuzzy inference systems 610 $aANFIS 610 $aartificial neural network 610 $aartificial neural networks 610 $aclear sky irradiance 610 $aclustering-based PV fault detection 610 $aCOA 610 $acomplex network analysis 610 $adata fusion 610 $adeterioration 610 $adeterministic optimization algorithm 610 $adiffractive grating 610 $adiffractive optical element 610 $adouble flames generation (DFG) strategy 610 $aduty cycle 610 $aenvironmental parameters 610 $afault prognosis 610 $afeed-forward neural networks 610 $afinite difference time domain 610 $agenetic algorithm 610 $aglobal horizontal irradiance 610 $aglobal optimization 610 $agradient descent 610 $ahot spot 610 $aimage processing 610 $aimplicit model solution 610 $aintegrated energy systems 610 $alinear approximation 610 $along short-term memory 610 $aLSTM cell 610 $amachine learning 610 $amathematical modeling 610 $amaximum power point tracking 610 $ametaheuristic optimization algorithm 610 $amoth-flame optimization 610 $aMPPT algorithm 610 $amultiple regression model 610 $anational power system 610 $aoptical modelling 610 $aparameter extraction 610 $apartial shading 610 $aparticle swarm optimization-artificial neural networks 610 $aperformances evaluation 610 $apersistent predictor 610 $aphotovoltaic array 610 $aphotovoltaic model 610 $aphotovoltaic module 610 $aphotovoltaic plants 610 $aphotovoltaic power prediction 610 $aphotovoltaic system 610 $aphotovoltaic systems 610 $aphotovoltaics 610 $apublicly available weather reports 610 $aPV fleet 610 $aPV power prediction 610 $aPVs power output forecasting 610 $arecurrent neural networks 610 $arenewable energy 610 $aself-imputation 610 $asensor network 610 $aseries-parallel 610 $asingle stage grid connected systems 610 $asingle-diode model 610 $asmart energy management 610 $asolar cell optimization 610 $aSolar cell parameters 610 $asolar concentrator 610 $asolar irradiation 610 $aspectral beam splitting 610 $astatistical method 610 $asustainable development 610 $athermal image 610 $atwo-diode model 610 $aunsupervised learning 615 7$aHistory of engineering and technology 700 $aVitelli$b Massimo$4edt$01297561 702 $aCostanzo$b Luigi$4edt 702 $aVitelli$b Massimo$4oth 702 $aCostanzo$b Luigi$4oth 906 $aBOOK 912 $a9910557297703321 996 $aComputational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications$93024546 997 $aUNINA