Shulph Ink
Intelligent Renewable Energy Systems: Integrating Artificial Intelligence Techniques and Optimization Algorithms
Intelligent Renewable Energy Systems: Integrating Artificial Intelligence Techniques and Optimization Algorithms
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- More about Intelligent Renewable Energy Systems: Integrating Artificial Intelligence Techniques and Optimization Algorithms
This collection of papers on artificial intelligence and other methods for improving renewable energy systems is a reflection of the state of the art and a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast of current energy systems concepts and technology.
Format: Hardback
Length: 480 pages
Publication date: 21 January 2022
Publisher: John Wiley & Sons Inc
This comprehensive collection of papers on artificial intelligence and other methods for enhancing renewable energy systems, authored by industry experts, serves as a reflection of the cutting-edge state of the art. It is an essential resource for engineers, maintenance personnel, students, and anyone seeking to stay abreast of the latest concepts and technologies in energy systems.
Renewable energy holds immense significance in today's world, encompassing a wide range of topics from macroeconomic stability to the microcosm of individual energy needs. At the forefront of this discussion is the role of renewable energy, particularly in addressing the challenges posed by intermittent and fluctuating behavior. This book aims to illustrate modeling, simulation, design, and control of renewable energy systems employing recent artificial intelligence (AI) and optimization techniques to enhance their performance.
Current renewable energy sources face limitations in power conversion efficiency due to their intermittent and unpredictable nature. However, the recent advancements in AI and optimization techniques have proven to be highly effective in dealing with the complexities associated with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources. These techniques offer superior efficiency compared to classical soft computing methods, enabling more accurate and reliable analysis of renewable energy data.
This book provides an extensive analysis of the latest state-of-the-art AI and optimization techniques applied to green energy systems. It serves as a valuable resource for researchers, industry professionals, undergraduate and graduate students, and anyone interested in advancing the field of renewable energy. By presenting a comprehensive overview of these techniques, the book empowers professionals to leverage AI and optimization to optimize renewable energy systems, improve their efficiency, and contribute to a more sustainable and environmentally friendly energy future.
Weight: 802g
Dimension: 229 x 163 x 31 (mm)
ISBN-13: 9781119786276
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