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001 9910350277303321
005 20190207160601.0
010   $a981-13-6151-7
024 7 $a10.1007/978-981-13-6151-7
035   $a(CKB)4100000007598532
035   $a(DE-He213)978-981-13-6151-7
035   $a(MiAaPQ)EBC5689301
035   $a(EXLCZ)994100000007598532
100   $a20190207d2019      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSolar Photovoltaic Power Plants$b[electronic resource] $eAdvanced Control and Optimization Techniques /$fedited by Radu-Emil Precup, Tariq Kamal, Syed Zulqadar Hassan
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (XVII, 250 p. 174 illus., 95 illus. in color.) 
225 1 $aPower Systems,$x1612-1287
311   $a981-13-6150-9 
327   $aAdaptive Control Techniques for Three-Phase Grid-Connected Photovoltaic Inverters -- Application of sliding-mode control for maximum power point tracking of PV systems -- Predictive Control of Four-Leg Converters for Photovoltaic Energy Systems -- A Novel Maximum Power Point Tracking Method for Photovoltaic Application Using Secant Incremental Gradient Based on Newton Raphson -- Study on control of hybrid photovoltaic-wind power system using Xilinx System Generator -- Arti?cial Intelligence for Photovoltaic Systems -- Applications of Improved Versions of Fuzzy Logic Based Maximum Power Point Tracking for Controlling Photovoltaic Systems -- A New Method For Generating Short-Term Power Forecasting Based On Arti?cial Neural Networks And Optimization Methods For Solar Photovoltaic Power Plants -- Evaluation on Training Algorithms of Back Propagation Neural Network for a Solar Photovoltaic based DSTATCOM System -- Power Extraction from PV Module using Hybrid ANFIS Controller -- An Online Self Recurrent Direct Adaptive Nero-fuzzy Wavelet based Control of Photovoltaic Systems.
330   $aThis book discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods for PV systems. Going beyond classical control techniques, it promotes the use of more efficient control and optimization strategies based on linearized models and purely continuous (or discrete) models. These new strategies not only enhance the performance of the PV systems, but also decrease the cost per kilowatt-hour generated. .
410  0$aPower Systems,$x1612-1287
606   $aProduction of electric energy or
606   $aPower Electronics, Electrical Machines and Networks$3http://scigraph.springernature.com/things/product-market-codes/T24070
606   $aEnergy Efficiency$3http://scigraph.springernature.com/things/product-market-codes/118000
606   $aControl and Systems Theory$3http://scigraph.springernature.com/things/product-market-codes/T19010
615  0$aProduction of electric energy or.
615 14$aPower Electronics, Electrical Machines and Networks.
615 24$aEnergy Efficiency.
615 24$aControl and Systems Theory.
676   $a621.317
702   $aPrecup$b Radu-Emil$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aKamal$b Tariq$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aZulqadar Hassan$b Syed$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910350277303321
996   $aSolar Photovoltaic Power Plants$92100670
997   $aUNINA