Modern Computational Techniques for Engineering Applications

This book presents recent computational techniques used in the advancements of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable developments.

This book-

• Discusses the importance of renewable energy sources like wind turbines and solar panels for electrical grids.

• Presents optimization-based computing techniques like fuzzy logic, neural networks, and genetic algorithms to enhance the computational speed.
• Showcases cloud computing tools and methodologies such as cybersecurity testbeds and data security for better accuracy of data.
• Covers novel concepts on artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques.

• Highlights application-based case studies including cloud computing, optimization methods, and the Industrial Internet of Things.

The text comprehensively introduces modern computation techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques and how they form the basis for algorithms. It presents application-based case studies like cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer engineering.