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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: TAYLOR & FRANCIS EXCLUSIVE(CBS), 2021
ISBN 10: 0367610922 ISBN 13: 9780367610920
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Suman Lata Tripathi is working as a Professor at School of Electronics and Electrical Engineering, Lovely Professional University, India. Mithilesh Kumar Dubey is working as an Associate Professor at School of Computer Science and Engineering, Lov.
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Introduction to AI techniques for Renewable Energy SystemArtificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems.FeaturesFocuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniquesShowcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approachesHighlights international standards for intelligent renewable energy systems design, reliability, and maintenanceProvides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systemsThis book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.