9786206183440 - mppt under partial shading conditions using artificial neural network: maximum powerpoint tracking; radial basis function neural network; boosted salp swarm optimization di s., antonyraj; g., giftson samuel; e., elakkiya (5 risultati)
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,45
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. MPPT Under Partial Shading Conditions Using Artificial Neural Network | Maximum Powerpoint Tracking; Radial Basis Function Neural Network; Boosted Salp Swarm Optimization | Antonyraj S. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206183440 | Verantwortliche Pe…rson für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This Book presents the deep radial basis function neural network learning-based MPPT for the PV module to obtain the maximum power. Moreover, the D-RBFN is trained using the proposed Boosted salp swarm optimization (BOSS) to reduce… the tracking speed and improve efficiency. The BOSS optimization algorithm removes the local optima problem in the conventional salp swarm optimization algorithm by modifying the controlling parameter value, which is not only based on the maximum number of generations but also depends on the characteristics of the problem. The performance of the proposed BOSS-D-RBFN controller is analyzed under dynamic changing irradiance and two different cases of partial shading conditions. Also, the performance of the BOSS-D-RBFN method compared with state-of-the-art methods, including neural network-based MPPT, fuzzy logic-based MPPT, P&O-based MPPT, Incremental conductance, and evolutionary algorithm-based MPPT methods in terms of oscillation percentage, settling and tracking time, maximum power obtained, and efficiency. 60 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 37,23
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This Book presents the deep radial basis function neural network learning-based MPPT for the PV module to obtain the maximum power. Moreover, the D-RBFN is trained using the proposed Boosted salp swarm optimization (…BOSS) to reduce the tracking speed and im.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This Book presents the deep radial basis function neural network learning-based MPPT for the PV module to obtain the maximum power. Moreover, the D-RBFN is trained using the proposed Boosted salp swarm optimization (BOSS) to reduce the… tracking speed and improve efficiency. The BOSS optimization algorithm removes the local optima problem in the conventional salp swarm optimization algorithm by modifying the controlling parameter value, which is not only based on the maximum number of generations but also depends on the characteristics of the problem. The performance of the proposed BOSS-D-RBFN controller is analyzed under dynamic changing irradiance and two different cases of partial shading conditions. Also, the performance of the BOSS-D-RBFN method compared with state-of-the-art methods, including neural network-based MPPT, fuzzy logic-based MPPT, P&O-based MPPT, Incremental conductance, and evolutionary algorithm-based MPPT methods in terms of oscillation percentage, settling and tracking time, maximum power obtained, and efficiency.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 44,59
EUR 60,54 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Book presents the deep radial basis function neural network learning-based MPPT for the PV module to obtain the maximum power. Moreover, the D-RBFN is trained using the proposed Boosted salp swarm optimization (BOSS) to reduce the…tracking speed and improve efficiency. The BOSS optimization algorithm removes the local optima problem in the conventional salp swarm optimization algorithm by modifying the controlling parameter value, which is not only based on the maximum number of generations but also depends on the characteristics of the problem. The performance of the proposed BOSS-D-RBFN controller is analyzed under dynamic changing irradiance and two different cases of partial shading conditions. Also, the performance of the BOSS-D-RBFN method compared with state-of-the-art methods, including neural network-based MPPT, fuzzy logic-based MPPT, P&O-based MPPT, Incremental conductance, and evolutionary algorithm-based MPPT methods in terms of oscillation percentage, settling and tracking time, maximum power obtained, and efficiency.
