{"title":"Ikromjon U Rakhmonov","description":null,"products":[{"product_id":"electric-consumption-by-industrial-enterprises-book-ikromjon-u-rakhmonov-9783031626753","title":"Electric Consumption by Industrial Enterprises","description":"\u003cp\u003eThis book comprises eleven chapters, consistently highlighting key aspects of addressing the challenge of enhancing electricity consumption efficiency within various industrial sectors. It delves into issues such as improving the accuracy of energy intensity calculations for industrial products, estimating electricity consumption for internal needs, and identifying key influencing factors.\u003c\/p\u003e\n\n\u003cp\u003eThe methods for determining standard values through multifactor analysis and cost minimization are presented. Furthermore, it examines potential avenues for electricity savings and methods for assessing their impact on the technological and organizational operating conditions of industrial enterprises. The reduction of specific power consumption through optimization of raw materials and semi-finished products parameters is also explored.\u003c\/p\u003e\n\n\u003cp\u003eThis book is intended for engineering professionals and researchers in the field of industrial energy management, as well as undergraduate and graduate students specializing in this area.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51060351729937,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51060355301649,"sku":"NIN9783031626753","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51717904269585,"sku":"NGR9783031626753","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/3031626753.jpg?v=1785819682"},{"product_id":"electric-consumption-by-industrial-enterprises-book-ikromjon-u-rakhmonov-9783031626784","title":"Electric Consumption by Industrial Enterprises","description":"\u003cp\u003eThis book comprises eleven chapters, consistently highlighting key aspects of addressing the challenge of enhancing electricity consumption efficiency within various industrial sectors. 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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 theoretical depth and actionable engineering tools. Across six logically connected chapters, this book guides readers from the fundamental laws of power consumption and system reliability to advanced topics such as adaptive-predictive architectures, stochastic modeling of industrial loads, and multi-agent control for real-time decision-making. Mathematical models, algorithmic frameworks, and applied case studies demonstrate how enterprises can reduce losses, manage reactive power, and forecast demand with higher precision. Each section combines analytical rigor with implementation strategies that can be directly applied in industrial environments. This book’s novel contribution lies in its interdisciplinary integration of electrical engineering, system theory, data science, and artificial intelligence into one unified methodological framework. 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