Smart Structures in Energy Infrastructure: Proceedings of ICRTE 2021, Volume 2

This book summarizes the research papers presented at ICRTE 2021, focusing on computational techniques for renewable energy optimization and smart structures in energy infrastructure.

Format: Paperback / softback
Length: 212 pages
Publication date: 03 December 2022
Publisher: Springer Verlag, Singapore

This comprehensive book presents a collection of meticulously selected high-quality research papers that were presented at the International Conference on Renewable Technologies in Engineering (ICRTE 2021), organized by Manav Rachna International Institute of Research & Studies in Faridabad, Haryana, India, from 15 to 16 April 2021. The conference theme, "Computational Techniques for Renewable Energy Optimization," sought to bring together renowned academic scientists, researchers, and scholars from around the world to exchange and share their expertise and research findings on various aspects of renewable energy integration, planning, control, and optimization. Furthermore, the book serves as a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the latest innovations, trends, and concerns in the fields of smart structures in energy infrastructure.

Renewable energy integration, planning, control, and optimization have become crucial areas of focus in today's world, as we strive to mitigate the impact of climate change and ensure a sustainable future. The International Conference on Renewable Technologies in Engineering (ICRTE 2021) provided a platform for researchers, practitioners, and educators to come together and share their knowledge and experiences in these fields.

The book "Computational Techniques for Renewable Energy Optimization" encompasses a wide range of topics, including but not limited to solar energy systems, wind energy systems, hydroelectric power plants, energy storage systems, and smart grid technologies. The papers presented at the conference covered various aspects of renewable energy optimization, such as modeling and simulation, data analysis, machine learning, and control algorithms.

One of the key objectives of the conference was to foster interdisciplinary collaboration and promote the exchange of ideas between different fields. The conference brought together researchers from engineering, mathematics, computer science, and other related disciplines, allowing them to share their expertise and work together towards solving complex renewable energy optimization problems.

The papers presented at ICRTE 2021 covered a wide range of topics, from theoretical studies to practical applications. Some of the key findings and insights from the conference include:

• The use of machine learning algorithms to optimize the performance of solar energy systems.
• The development of new modeling and simulation techniques for wind energy systems.
• The optimization of hydroelectric power plants using genetic algorithms.
• The application of data analytics to improve energy storage systems.
• The development of smart grid technologies to enhance the efficiency and reliability of power distribution.

The book "Computational Techniques for Renewable Energy Optimization" serves as a valuable resource for researchers, practitioners, and educators in the fields of renewable energy and energy infrastructure. It provides a comprehensive overview of the latest research and developments in the field, and serves as a reference for future research and innovation.

In conclusion, the International Conference on Renewable Technologies in Engineering (ICRTE 2021) was a successful event that brought together leading academic scientists, researchers, and scholars from around the world to discuss and explore the latest advancements in renewable energy optimization. The book "Computational Techniques for Renewable Energy Optimization" serves as a testament to the significant contributions made by the participants and highlights the importance of interdisciplinary collaboration in addressing the challenges of renewable energy integration and optimization.

Weight: 355g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811647468
Edition number: 1st ed. 2022