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Springer Collaborative Optimization of Complex Energy Systems - Iron Steel Industry

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£90.11 £88.52 £88.86 £89.21 £89.56 £89.91 £90.26 25 July 2026 06 August 2026 18 August 2026 30 August 2026 12 September 2026
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Description

This comprehensive engineering resource explores multi-media energy prediction technology and optimization methods tailored for iron and steel enterprises. The book examines energy saving and consumption reduction through advanced computational approaches, including swarm intelligence algorithms, neural networks, and reinforcement learning techniques. By analysing energy flow and material flow within industrial systems, the text provides practical optimization methods grounded in system-level multi-media energy balance analysis. Part of the Engineering Applications of Computational Methods series, this Springer publication addresses critical challenges in process control and industrial efficiency, offering both theoretical foundations and applied solutions for reducing operational costs whilst improving environmental performance in heavy manufacturing.

Key Features

Covers swarm intelligence algorithms, neural networks, and reinforcement learning for energy system optimization in iron and steel production.

Examines multi-media energy balance problems from a systems perspective to identify efficiency improvements.

Provides energy flow and material flow analysis methodologies applicable to complex industrial environments.

Part of the Engineering Applications of Computational Methods series by Springer for academic and professional reference.

Addresses energy saving and consumption reduction as core research topics in industrial process control.

Combines theoretical foundations with practical optimization methods for modern manufacturing challenges.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 August 2023
Listed Since
08 June 2023

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No barcode data available

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