Fouzi harrou (37 resultados)

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Hardback. Condición: New.

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Hardback. Condición: New.

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Taschenbuch. Condición: Neu. Road Traffic Modeling and Management | Using Statistical Monitoring and Deep Learning | Fouzi Harrou (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Elsevier Inc | EAN 9780128234327 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu. …

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Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Solar photovoltaic (PV) systems are pivotal and transformative technologies at the forefront of the global shift toward sustainable energy solutions. The primary challenge in solar energy production lies in the volatility and intermittency of PV system power generation, primarily due to unpredictable weather conditions. Additionally, PV systems face continuous exposure to various faults and anomalies that can impact their productivity and profitability. This Reprint centers on artificial intelligence (AI)-driven approaches for photovoltaic energy forecasting, modeling, and monitoring. The importance of AI methods in predicting, modeling, and detecting faults in PV systems is crucial in today's energy landscape. AI has emerged as a transformative force, addressing inherent challenges associated with solar energy production. The studies within this Reprint include empirical research across various subjects, encompassing machine learning and IoT for PV monitoring. The Reprint explores the effects of shading and dust on PV systems and presents AI-driven solutions. It also delves into PV modeling, optimization, and innovative strategies to enhance accuracy. In summary, this Reprint offers a concise yet comprehensive exploration of AI applications in solar energy, catering to researchers, practitioners, and educators in the field.…

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Taschenbuch. Condición: Neu. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches | Theory and Practical Applications | Fouzi Harrou (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Elsevier Inc | EAN 9780128193655 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu.…

Kartoniert / Broschiert. Condición: New. Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring Uses methods based on video and time series data for traffic model.

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Condición: New. Uses a data-driven based approach to fault detection and attribution Provides an in-depth understanding of fault detection and attribution in complex and multivariate systems Familiarises you with the most suitable data-driven bas.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Solar photovoltaic (PV) systems are pivotal and transformative technologies at the forefront of the global shift toward sustainable energy solutions. The primary challenge in solar energy production lies in the volatility and intermittency of PV system power generation, primarily due to unpredictable weather conditions. Additionally, PV systems face continuous exposure to various faults and anomalies that can impact their productivity and profitability. This Reprint centers on artificial intelligence (AI)-driven approaches for photovoltaic energy forecasting, modeling, and monitoring. The importance of AI methods in predicting, modeling, and detecting faults in PV systems is crucial in today's energy landscape. AI has emerged as a transformative force, addressing inherent challenges associated with solar energy production. The studies within this Reprint include empirical research across various subjects, encompassing machine learning and IoT for PV monitoring. The Reprint explores the effects of shading and dust on PV systems and presents AI-driven solutions. It also delves into PV modeling, optimization, and innovative strategies to enhance accuracy. In summary, this Reprint offers a concise yet comprehensive exploration of AI applications in solar energy, catering to researchers, practitioners, and educators in the field.…

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnFault 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 ins.…