Artificial Intelligence for Renewable Energy systems



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Éditeur :

Woodhead Publishing


Paru le : 2022-08-01



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Description
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
Pages
406 pages
Collection
n.c
Parution
2022-08-01
Marque
Woodhead Publishing
EAN papier
9780323903967
EAN PDF
9780323906616

Informations sur l'ebook
Nombre pages copiables
40
Nombre pages imprimables
40
Taille du fichier
7281 Ko
Prix
284,35 €
EAN EPUB SANS DRM
9780323906616

Prix
284,35 €

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