Machine learning solar array di rao sunil (12 risultati)
Machine Learning for Solar Array Monitoring, Optim
Rao, Sunil; Katoch, Sameeksha; Narayanaswamy, Vivek; Muniraju, Gowtham; Tepedelenlioglu, Cihan; Spanias, Andreas
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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EUR 63,03
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Condizione: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
Machine Learning for Solar Array Monitoring, Optimization, and Control (Synthesis Lectures on Power Electronics)
Rao, Sunil; Katoch, Sameeksha; Narayanaswamy, Vivek; Muniraju, Gowtham; Tepedelenlioglu, Cihan; Spanias, Andreas
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 76,92
EUR 3,46 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New. 1st edition NO-PA16APR2015-KAP.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 56,70
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help op…timize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90+% and topology optimization provides increase in power by as much as 16% under shading.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 53,10
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Machine Learning for Solar Array Monitoring, Optimization, and Control | Sunil Rao (u. a.) | Taschenbuch | Synthesis Lectures on Power Electronics | ix | Englisch | 2020 | Springer | EAN 9783031013775 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, jue…rgen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Machine Learning for Solar Array Monitoring, Optimization, and Control (Synthesis Lectures on Engineering, Science, and Technology)
Rao, Sunil; Katoch, Sameeksha; Narayanaswamy, Vivek; Muniraju, Gowtham; Tepedelenlioglu, Cihan
- Rilegato
Da: BOOKWEST, Phoenix, AZ, U.S.A.BOOKWEST
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EUR 169,81
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Hardcover. Condizione: New. US SELLER SHIPS FAST FROM USA.
Machine Learning for Solar Array Monitoring, Optimization, and Control (Synthesis Lectures on Engineering, Science, and Technology)
Rao, Sunil, Katoch, Sameeksha, Narayanaswamy, Vivek, Muniraj
- Rilegato
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 300,63
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Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 48,62
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Condizione: new. Questo è un articolo print on demand.
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 56,70
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 -The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of mainten…ance and help optimize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90+% and topology optimization provides increase in power by as much as 16% under shading. 92 pp. Englisch.
Machine Learning for Solar Array Monitoring, Optimization, and Control (Synthesis Lectures on Power Electronics)
Rao, Sunil; Katoch, Sameeksha; Narayanaswamy, Vivek; Muniraju, Gowtham; Tepedelenlioglu, Cihan; Spanias, Andreas
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 76,83
EUR 7,59 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
Machine Learning for Solar Array Monitoring, Optimization, and Control (Synthesis Lectures on Power Electronics)
Rao, Sunil; Katoch, Sameeksha; Narayanaswamy, Vivek; Muniraju, Gowtham; Tepedelenlioglu, Cihan; Spanias, Andreas
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 78,75
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 49,80
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. The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the…cost of maintenance and help optimize the.
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 56,70
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 -The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance… and help optimize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90+% and topology optimization provides increase in power by as much as 16% under shading.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 92 pp. Englisch.
