£129.74

Applied Soft Computing Techniques for Renewable Energy Book

Energy

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Description

Explore the integration of advanced computing methods within the renewable energy sector. This book offers a deep look into how Fuzzy set theory, Fuzzy logic, and Neural Networks serve as effective tools for modeling and controlling real-world systems. As energy remains a driving force for civilization, understanding sustainable resources is vital for future planning. This text focuses on the estimation of renewable and sustainable energy to help readers understand how resources are harnessed. By utilizing available modeling techniques to generate optimized algorithms, the book addresses the need to predict energy outcomes under various future conditions. It is a specialized resource for those studying the research, development, and policies surrounding modern energy systems.

Key Features

Provides a detailed understanding of Fuzzy set theory and Fuzzy logic for system modeling.

Explains the application of Neural Networks in controlling real-world energy systems.

Covers essential methods for estimating renewable and sustainable energy resources.

Focuses on generating the best algorithms through available modeling techniques.

Supports research into how energy resources are harnessed and managed.

Helps predict energy trends and outcomes under different future conditions.

Product Specifications

Format: hardcover
ASIN: 1536181803
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Electrical > Energy
Domain: Amazon UK
Release Date: 17 July 2020
Listed Since: 09 June 2020

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Applied Soft Computing Techniques for Renewable Energy Book

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