Intelligent Renewable Energy Systems Integrating Artificial Intelligence Techniques and Optimization Algorithms |
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| Editor:
| Priyadarshi, Neeraj
Bhoi, Akash Kumar
Sanjeevikumar, P.
Balamurugan, S.
Holm-Nielsen, Jens Bo |
| ISBN: | 978-1-119-78627-6 |
| Publication Date: | Jan 2022 |
| Publisher: | John Wiley & Sons, Incorporated
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| Imprint: | Wiley-Scrivener |
| Book Format: | Hardback |
| List Price: | USD $242.95 |
Book Description:
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INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology.
Renewable energy is one of the most important subjects being studied, researched, and advanced...
More Description
INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology.
Renewable energy is one of the most important subjects being studied, researched, and advanced in today's world. From a macro level, like the stabilization of the entire world's economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion.
This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques.
This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library.
Audience
Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.