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Springer Soft Computing in Green and Renewable Energy Systems - Springer

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Description

Soft Computing in Green and Renewable Energy Systems is a comprehensive guide to applying soft computing techniques and hybrid intelligent systems for designing, modelling, characterising, optimising, forecasting, and predicting the performance of renewable energy systems. This volume, part of the Studies in Fuzziness and Soft Computing series from Springer, addresses the growing demand for sustainable energy solutions by combining advanced computational methods with practical applications. The book explores how soft computing approaches can solve complex challenges in renewable energy technologies including solar, wind, geothermal, biomass, hydrogen, and tidal systems. It bridges the gap between theoretical soft computing principles and real-world renewable energy engineering, making it essential reading for researchers, engineers, and policy makers seeking to understand and implement intelligent systems for sustainable energy development.

Key Features

Focuses on soft computing techniques applied to renewable energy systems including solar, wind, tidal, and geothermal technologies.

Covers modelling, optimisation, and forecasting methods for improving green energy system performance and efficiency.

Part of Springer's Studies in Fuzziness and Soft Computing series, volume 269, providing academic rigour and peer-reviewed content.

Combines hybrid intelligent systems with practical engineering solutions for sustainable energy design and implementation.

Addresses policy, research, and economic perspectives on renewable energy through computational intelligence approaches.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 August 2016
Listed Since
23 June 2016

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