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Springer Wind Power Systems: Computational Intelligence Applications

Amazon

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£112.37 £107.56 £108.61 £109.66 £110.71 £111.76 £112.81 28 July 2026 14 August 2026 01 September 2026 19 September 2026 07 October 2026
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Description

Wind Power Systems: Applications of Computational Intelligence explores how renewable energy sources like wind power are transforming modern energy infrastructure. This comprehensive resource from Springer addresses the critical challenges of integrating wind power into conventional grids, focusing on solutions through computational intelligence methods. The book covers essential topics for engineers, practitioners, and decision-makers seeking to harness wind energy's environmental benefits whilst maintaining grid stability and energy security. Unlike traditional generation systems, wind power requires innovative approaches to forecasting, optimisation, and control - all thoroughly examined in this Green Energy and Technology series publication. Whether you are designing wind installations, optimising energy systems, or researching renewable integration strategies, this text provides practical insights and theoretical foundations grounded in artificial intelligence and machine learning applications for modern power systems.

Key Features

Springer publication covering wind power integration into conventional power grids with computational intelligence methods.

Practical resource for engineers and practitioners addressing challenges specific to wind power systems versus traditional generation.

Comprehensive coverage of renewable energy sources, including environmental benefits and carbon dioxide reduction.

Focuses on decision-making frameworks for energy security and sustainable power system design.

Part of the Green Energy and Technology series, combining AI and machine learning applications for wind power optimisation.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 September 2012
Listed Since
13 July 2012

Barcode

No barcode data available

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