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Viac informácií o knihe Computer Vision and Machine Intelligence for Renewable Energy Systems

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 563 bodov

Anotácia knihy

Computer Vision and Machine Intelligence in Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration. This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modelling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier’s cutting-edge new series Advances in Intelligent Energy Systems, 'Computer Vision and Machine Intelligence in Renewable Energy Systems' provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. Provides a sorely-needed primer on the opportunities of computer vision techniques for renewable energy systemsBuilds knowledge and tools in a systematic manner, from fundamentals to advanced applicationsIncludes dedicated chapters with case studies and applications for each sustainable energy source

Parametre knihy

Zaradenie knihy Knihy po anglicky Technology, engineering, agriculture Energy technology & engineering Electrical engineering

• Celý názov: Computer Vision and Machine Intelligence for Renewable Energy Systems
• Autor: Ashutosh Kumar Dubey, Arun Lal Srivastav, Abhishek Kumar, Umesh Chandra Pati, Fausto Pedro Garcia Marquez, Vicente García-Díaz
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 300
• EAN: 9780443289477
• ISBN: 0443289476
• ID: 45112309
• Rozmery: 229 × 152 mm
• Dátum vydania: 01. October 2024

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