01230nas 2200373-a 450 991014534730332120240413013354.0(CKB)1000000000276341(CONSER)--2013214025(DE-599)ZDB2378871-9(EXLCZ)99100000000027634120060209a20049999 --- agertxtrdacontentcrdamediacrrdacarrierAmtliche Nachrichten der Bundesagentur für Arbeit ANBANürnberg Bundesagentur für Arbeit1 online resourcePrint version: Amtliche Nachrichten der Bundesagentur für Arbeit : 1613-9429 (DLC) 2013214025 (OCoLC)500453601 ANBALabor marketGermanyStatisticsPeriodicalsLabor marketfast(OCoLC)fst00990036GermanyfastPeriodicals.fastStatistics.fastLabor marketLabor market.Bundesagentur für Arbeit (Germany)JOURNAL9910145347303321exl_impl conversionAmtliche Nachrichten der Bundesagentur für Arbeit2074892UNINA04360nam 22009493a 450 991067402510332120250203235429.09783039210992303921099810.3390/books978-3-03921-099-2(CKB)4100000010106113(oapen)https://directory.doabooks.org/handle/20.500.12854/43703(ScCtBLL)a44c689a-0173-4ea8-85cb-b38c28b3ed70(OCoLC)1163834549(oapen)doab43703(EXLCZ)99410000001010611320250203i20192019 uu engurmn|---annantxtrdacontentcrdamediacrrdacarrierComputational Intelligence in Photovoltaic SystemsEmanuele Ogliari, Sonia LevaMDPI - Multidisciplinary Digital Publishing Institute2019Basel, Switzerland :MDPI,2019.1 electronic resource (180 p.)9783039210985 303921098X Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems. Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems. This Special Issue "Computational Intelligence in Photovoltaic Systems" is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability modeling; Decision processes for grid operators.History of engineering and technologybicsscartificial neural networkonline diagnosisgenetic algorithmrenewable energyunit commitmentphotovoltaic panelpower forecastingmetaheuristicmonitoring systemembedded systemsfirefly algorithmtracking systemMPPT algorithmintegrated storageday-ahead forecastsolar radiationprototype modelartificial neural networksparameter extractionthermal imagethermal modelsolar cellPV cell temperatureevolutionary algorithmsuncertaintybatteryharmony search meta-heuristic algorithmsingle-diode photovoltaic modelsymbiotic organisms searchphotovoltaicstilt anglesmart photovoltaic system blindorientationphotovoltaicparticle swarm optimizationanalytical methodscomputational intelligencestatistical errorsensemble methodssolar photovoltaicelectrical parametersdemand responsemetaheuristic algorithmHistory of engineering and technologyOgliari Emanuele1338088Leva SoniaScCtBLLScCtBLLBOOK9910674025103321Computational Intelligence in Photovoltaic Systems3057826UNINA