Artificial Intelligence for Renewable Energy systems is popular PDF and ePub book, written by Ashutosh Kumar Dubey in 2022-08-01, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Artificial Intelligence for Renewable Energy systems can be Read Online from any device for your convenience.
Artificial Intelligence for Renewable Energy systems Book PDF Summary
Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms. Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies Covers computational capabilities and varieties for renewable system design
Detail Book of Artificial Intelligence for Renewable Energy systems PDF
- Author : Ashutosh Kumar Dubey
- Release : 01 August 2022
- Publisher : Woodhead Publishing
- ISBN : 9780323906616
- Genre : Science
- Total Page : 408 pages
- Language : English
- PDF File Size : 12,9 Mb
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