Applications of Nature-Inspired Computing in Renewable Energy Systems
Applications of Nature-Inspired Computing in Renewable Energy Systems
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Renewable energy is essential for preserving the environment, but designing and developing efficient systems is a challenge. Nature-inspired computing approaches offer innovative solutions to this problem, covering topics such as microgrids, wind power, and artificial neural networks. This book is ideal for professionals, researchers, and students in the field.
Format: Paperback / softback
Length: 340 pages
Publication date: 08 December 2021
Publisher: IGI Global
Renewable energy is a vital component in preserving the environment. It encompasses a wide range of systems that require optimization and evaluation to enhance their performance. However, the design and development of renewable energy systems remain a significant challenge. To overcome this obstacle, it is essential to incorporate the latest innovative research in the field.
Applications of Nature-Inspired Computing in Renewable Energy Systems delves into the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems. It presents novel solutions to the renewable energy domain, covering topics such as microgrids, wind power, and artificial neural networks. This book is an invaluable resource for engineers, industry professionals, researchers, academics, practitioners, teachers, and students.
By leveraging the principles and techniques inspired by nature, we can develop more efficient and sustainable renewable energy systems. Nature-inspired computing offers a promising approach to address the complex challenges faced by the renewable energy sector, such as optimizing energy generation, managing energy storage, and improving grid stability.
In conclusion, renewable energy is crucial for preserving the environment, and nature-inspired computing plays a vital role in developing and improving renewable energy systems. By embracing the latest research and incorporating nature-inspired principles, we can create a more sustainable and resilient energy future.
Weight: 633g
Dimension: 279 x 216 (mm)
ISBN-13: 9781799885627
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