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001445846 0247_ $$a10.1007/978-981-19-0035-8$$2doi
001445846 035__ $$aSP(OCoLC)1310342999
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001445846 08204 $$a621.3$$223
001445846 1112_ $$aInternational Conference on Electrical Systems and Automation$$n(1st :$$d2021 :$$cKhouribga, Morocco)
001445846 24514 $$aThe proceedings of the International Conference on Electrical Systems & Automation.$$nVolume 1 :$$brecent advances in renewable energy /$$cMohamed Bendaoud, Borutzky Wolfgang, Amine El Fathi, editors.
001445846 2463_ $$aProceedings of the International Conference on Electrical Systems & Automation
001445846 2463_ $$aRecent advances in renewable energy
001445846 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001445846 264_4 $$c©2022
001445846 300__ $$a1 online resource (171 pages)
001445846 336__ $$atext$$btxt$$2rdacontent
001445846 337__ $$acomputer$$bc$$2rdamedia
001445846 338__ $$aonline resource$$bcr$$2rdacarrier
001445846 504__ $$aReferences -- Development of an MPPT Control Based on Fuzzy Logic for a Photovoltaic System -- 1 Introduction -- 2 Block Diagram of a Photovoltaic System -- 3 Photovoltaic Panel Model -- 4 Boost Converter -- 5 Mppt Based on Fuzzy Logic -- 6 Simulation Results and Discussion -- 7 Conclusion -- References -- Artificial Intelligence for Forecasting the Photovoltaic Energy Production -- 1 Introduction -- 2 Neural Networks -- 2.1 Feedforward Neural Networks -- 2.2 Recurrent Neural Networks -- 2.3 LSTM Neural Networks -- 3 Performance Evaluation.
001445846 5050_ $$aIntro -- Committees -- Preface -- Contents -- About the Editors -- MPPT-Based a Fuzzy Logic and PO Algorithm for Standalone PV System Under Partial Shading Conditions -- 1 Introduction -- 2 System Description -- 2.1 Mathematical Modeling of PV Module -- 2.2 Partial Shading Effect -- 3 Power Conditioning Units -- 3.1 Boost Converter -- 3.2 Bidirectional Buck-Boost Converter -- 3.3 Inverter Circuit -- 4 MPPT Controller -- 4.1 Perturb and Observe Algorithm -- 4.2 Fuzzy Logic Controller -- 5 Results and Discussion -- 5.1 System Under Uniform Irradiance -- 5.2 Extracted Power Under PS Conditions
001445846 5058_ $$a6 Conclusion -- References -- Comparison of the Efficiency of ANN Training Algorithms for Tracking the Maximum Power Point of Photovoltaic Field -- 1 Introduction -- 2 Modeling of Photovoltaic Panels -- 3 Maximum Power Point Tracker (MPPT) -- 4 Artificial Intelligence (AI) -- 4.1 Artificial Neural Networks (ANN) -- 4.2 ANN Training Algorithms -- 5 Configuration of the Proposed Approach -- 5.1 Proposed ANN Architecture -- 5.2 Proposed PV System -- 6 Results and Discussion -- 6.1 Simulation Results of the Proposed ANN Model -- 6.2 Efficiency of the ANN Model to Track the MPP -- 7 Conclusion
001445846 5058_ $$a4 Forecasting of Photovoltaic Energy Production Using LSTM Neural Network -- 5 Conclusion -- References -- Diagnosis and Classification of Photovoltaic Panel Defects Based on a Hybrid Intelligent Method -- 1 Introduction -- 2 Defects of a Photovoltaic Field -- 2.1 Partial Shading -- 2.2 Short-Circuit Fault -- 2.3 Open-Circuit Fault -- 3 Artificial Neural Network (ANN) -- 4 Particle Swarm Optimization (PSO) -- 5 PSO-ANN -- 5.1 Design of the PSO-ANN Hybrid Method -- 5.2 Methodology -- 5.3 Result and Discussion -- 6 Conclusion -- References
001445846 5058_ $$aNew Reduced Form Approach and an Efficient Analytical Model for the Prediction of the Five Parameters of PV Generators Under Non-STC Conditions -- 1 Introduction -- 2 Single-Diode Modelling -- 3 Method's Theory -- 4 Results and Discussion -- 4.1 Results for KC200GT Under STC -- 4.2 Results for KC200GT Under Non-STC -- 5 Conclusion -- References -- Parameter Prediction of Solar Cell's Double Diode Model Using Neural Network -- 1 Introduction -- 2 Solar Cell's Double Diode Model -- 3 Parameter Prediction for Different Values of G and T -- 4 Artificial Neural Network for Parameter Prediction -- 4.1 Feedforward Artificial Neural Network Model.
001445846 506__ $$aAccess limited to authorized users.
001445846 520__ $$aThis edited volume on "Recent Advances in Renewable Energy" presents a selection of refereed papers presented at the 1st International Conference on Electrical Systems and Automation. The book provides rigorous discussions, the state of the art, and recent developments in the field of renewable energy sources supported by examples and case studies, making it an educational tool for relevant undergraduate and graduate courses. The book will be a valuable reference for beginners, researchers, and professionals interested in renewable energy.
001445846 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 13, 2022).
001445846 650_0 $$aElectrical engineering$$vCongresses.
001445846 650_0 $$aRenewable energy sources$$vCongresses.
001445846 650_0 $$aElectronic systems$$vCongresses.
001445846 650_6 $$aGénie électrique$$vCongrès.
001445846 650_6 $$aÉnergies renouvelables$$vCongrès.
001445846 650_6 $$aSystèmes électroniques$$vCongrès.
001445846 655_0 $$aElectronic books.
001445846 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001445846 7001_ $$aBendaoud, Mohamed,$$eeditor.
001445846 7001_ $$aWolfgang, Borutzky,$$eeditor.
001445846 7001_ $$aEl Fathi, Amine,$$eeditor.
001445846 77608 $$iPrint version:$$aInternational Conference on Electrical Systems & Automation (1st).$$tProceedings of the International Conference on Electrical Systems & Automation. Volume 1, Recent advances in renewable energy.$$dSingapore : Springer, 2022$$z9789811900341$$w(OCoLC)1308451607
001445846 852__ $$bebk
001445846 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-0035-8$$zOnline Access$$91397441.1
001445846 909CO $$ooai:library.usi.edu:1445846$$pGLOBAL_SET
001445846 980__ $$aBIB
001445846 980__ $$aEBOOK
001445846 982__ $$aEbook
001445846 983__ $$aOnline
001445846 994__ $$a92$$bISE