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024 8 $ahttp://dx.doi.org/10.5772/intechopen.85999
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100   $a20211214i20202020  uu 
101 0 $aeng
135   $auru||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 00$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
610   $aTechnology & Engineering
610   $aPower Resources
610   $aAlternative & Renewable
615  7$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