Intelligent Renewable Energy Systems:Integrating Artificial Intelligence Techniques And Optimization Algorithms

能源化学

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作      者
出  版 社
出版时间
2021年12月30日
装      帧
精装
ISBN
9781119786276
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页      码
500
语      种
英文
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库存 30 本
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图书简介
Renewable energy is one of the most important subjects being studied, researched, and advanced in todays world. From a macro level, like the stabilization of the entire worlds 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. 
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