Intelligent Power Supply Control Systems for Continuous Industrial Enterprises : Theoretical Foundations, Mathematical Models, and Artificial Intelligence Methods

Intelligent Power Supply Control Systems for Continuous Industrial Enterprises: Theoretical Foundations, Mathematical Models, and Artificial Intelligence Methods (Power Systems)

Intelligent Power Supply Control Systems for Continuous Industrial Enterprises : Theoretical Foundations, Mathematical Models, and Artificial Intelligence Methods

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Intelligent Power Supply Control Systems for Continuous Industrial Enterprises: Theoretical Foundations, Mathematical Models, and Artificial Intelligence Methods (Power Systems)

Overall Rating: 2.3 / 5 (average from multiple review sources, as of 7 Aug 2026)
Based on a total of 47,264 customer reviews from independent review platforms.

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This title will be released on September 27, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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Intelligent Power Supply Control Systems for Continuous Industrial Enterprises : Theoretical Foundations, Mathematical Models, and Artificial Intelligence Methods

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This book is a comprehensive scientific and practical guide to the digital transformation of industrial power systems.This book explores how artificial intelligence, real-time monitoring, and predictive analytics are reshaping the management of electricity in energy-intensive industries with continuous production cycles-such as metallurgy, chemical processing, and cement manufacturing.The core motivation behind this book lies in a global industrial challenge: how to ensure energy efficiency, reliability, and operational stability while maintaining uninterrupted technological processes.Traditional methods of load control and energy optimization are no longer sufficient in an era defined by Industry 4.0, Smart Grid technologies, IoT integration, and cyber-physical systems (CPS).This book bridges classical electrical-engineering theory with the latest advances in AI-driven forecasting, SCADA/EMS/BEMS systems, digital twins, and machine-learning-based optimization, offering readers both th
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