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Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208444306 ISBN 13: 9786208444303
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Published by Taylor & Francis Ltd, 2025
ISBN 10: 1041062893 ISBN 13: 9781041062899
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Published by TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2026
ISBN 10: 1041062893 ISBN 13: 9781041062899
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Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Published by Editions Notre Savoir, 2025
ISBN 10: 6208844029 ISBN 13: 9786208844028
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Published by Wydawnictwo Nasza Wiedza, 2025
ISBN 10: 6208844045 ISBN 13: 9786208844042
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Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208444306 ISBN 13: 9786208444303
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Published by LAP LAMBERT Academic Publishing, 2025
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Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 333034783X ISBN 13: 9783330347830
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tyagi CharuDr. Charu Tyagi, Marie Sklodowska-Curie Fellow, National University of Ireland, Galway, Ireland. Dr. Lomas Kumar Tomar, Director, School of Sciences, Noida International University, UP, India. Dr. Varun Kumar Sharma, H.
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1041062893 ISBN 13: 9781041062899
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Hardcover. Condition: new. Hardcover. The text covers emerging technologies and innovations in the field, such as hybrid solar thermal systems, advanced materials for collectors, novel heat storage solutions, and advancements in concentrating solar power (CSP) technologies. It presents artificial intelligence and machine learning techniques for solar thermal system optimization.Key Features:Discusses the use of smart technologies such as artificial intelligence and machine learning in transforming solar thermal systems by enhancing their efficiency, reliability, and cost-effectivenessProvides insights into optimization techniques for online testing of parameters for solar dryers, AI-based predictive modeling for accurate solar power generation, dual-axis solar panel tracking and monitoring systems, IoT in solar dryer design, and greenhouse-type solar dryer systemsCovers state-of-the-art computational models used in optimizing solar thermal systems, such as neural networks, genetic algorithms for predictive modeling, control strategies, and system optimizationPresents case studies and examples of implementations of computational intelligence and smart technologies in solar thermal applications, having real-time applications in a 4kW hybrid solar EV charging station, of five-level inverter for solar photovoltaic systems, agrivoltaic systems, and wind-solar-hydrogen hybrid energy generationIntroduces simulation and modeling tools used in the design, analysis, and performance evaluation of solar thermal collectors for decentralized cooking, next-generation solar power plants, and hybrid energy generation systemsThis book is primarily written for senior undergraduates, graduate students, and academic researchers in mechanical engineering, energy engineering, computer science and engineering, renewable energy, solar energy, and clean technologies. The text covers emerging technologies and innovations in fields such as hybrid solar thermal systems, advanced materials for collectors, novel heat storage solutions, and advancements in concentrating solar power (CSP) technologies. It presents artificial intelligence and machine learning techniques for solar thermal system optimization. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208444306 ISBN 13: 9786208444303
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