Smart Electrical and Mechanical Systems (eBook, ePUB)

An Application of Artificial Intelligence and Machine Learning
Redaktion: Sehgal, Rakesh; Kumaran, Vigna; Sharma, Mukund Dutt; Tomar, Anuradha; Gupta, Neeraj

• Format: ePub

Produktbeschreibung

Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems. Detailing methods and procedures for the application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or their components, and supportive data and results leading to the benefits and challenges of the relevant applications. The multidisciplinary theme of the book will help researchers build a synergy between electrical and mechanical engineering systems.

The book guides readers on not only how to effectively solve problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, the book caters to the needs of the electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples.

• Includes significant case studies related to application of Artificial Intelligence and Machine Learning in Energy and Power, Mechanical Design and Manufacturing
• Contains supporting illustrations and tables, along with a valuable set of references at the end of each chapter
• Provides original, state-of-the-art research material written by international and national respected contributors

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 314
• Erscheinungstermin: 22. Juni 2022
• Englisch
• ISBN-13: 9780323914413
• Artikelnr.: 64215294

Autorenporträt

Dr. Neeraj Gupta is Ph.D. in power systems from Indian Institute of Technology Roorkee, Roorkee, India. He is a senior member of IEEE. He was a faculty with the Thapar University, from 2008 to 2009, Adani Institute of Infrastructure Engineering, Ahmedabad, India, in 2015 and NIT Hamirpur from 2015 to 2018 and presently, he has been working as an Assistant professor with the Electrical Engineering Department, National Institute of Technology, Srinagar, J&K, India. His work has been published in Q-1 international journals of repute like IEEE, Elsevier etc. He is also in the scientific advisory/organizing secretary of many reputed conferences of the country. He is referee of reputed journals of IEEE, Elsevier, Taylor and Francis, IET etc. His research interests include uncertainty quantification of power system, probabilistic power system, solar, wind, and electric vehicle technologies, Artificial intelligence, Machine learning, prediction etc.

Inhaltsangabe

1. Basics of Artificial intelligence and Machine learning
2. Artificial Intelligence and machine learning based Robot Control
3. Smart Mechanical Design
4. Smart Manufacturing
5. Autonomous vehicles
6. Image processing for electrical and mechanical engineering
7. Machine learning in smart electric power systems
8. Renewable energy integration with ML
9. Machine learning applications in optimal power flow
10. Machine learning applications in power system control
11. Machine learning applications in power system forecasting