Indragandhi phd v (8 Ergebnisse)

Zustand: New.

Zustand: New. Elucidates the intricacies of an electric powertrain by systematically analyzing each of the system&rsquos componentsIncludes practical modeling insights to enhance performance and sustainabilityShowcases case studies, application.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Brand New. 350 pages. 9.00x6.00x9.02 inches. In Stock.

Zustand: New. Packages core concepts of green machine learning and smart grids in a clear, understandable wayIncludes real-world, practical applications and case studies for replication and innovative solution developmentIntroduces readers with .

Taschenbuch. Zustand: Neu. Neuware - Electric Vehicle Powertrains: Design Fundamentals, Components, and Applications equips readers with the technical know-how to innovate and optimize EV performance. Including solid fundamentals and a grounding in essential sustainable mobility contextualization, the book then goes on to offer a well-thought-out, systems-level perspective with protocols addressing vehicle specification requirements and quality manufacturing standards. Sections also provide an overview of the latest technological developments for each key component. Coverage of batteries, their management systems, and LCA analysis follow. Expert contributions round out the book s offering with an exploration of cutting-edge modeling tools and a look to better-performing, more reliable, cost-effective EVs.Users will find a valuable resource that blends blueprint-like knowledge and real-world exemplars of technical implementation issues alongside practice-informed solutions. …

Taschenbuch. Zustand: Neu. Neuware - Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of green machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation.…

Zustand: New. 2026. paperback. . . . . . Books ship from the US and Ireland.