Collaborative Optimization of Complex Energy Systems

Applications in Iron and Steel Industry

Dinghui Wu, Jing Wang, Junyan Fan, et al.

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Springer Nature Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

This book mainly focuses on the multi-media energy prediction technology and optimization methods of iron and steel enterprises. The technical methods adopted include swarm intelligence algorithm, neural network, reinforcement learning, and so on. Energy saving and consumption reduction in iron and steel enterprises have always been a research hotspot in the field of process control. This book considers the multi-media energy balance problem from the perspective of system, studies the energy flow and material flow in iron and steel enterprises, and provides energy optimization methods that can be used for planning, prediction, and scheduling under different production scenes. The main audience of this book is scholars and graduate students in the fields of control theory, applied mathematics, energy optimization, etc.

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Schlagwörter

Energy Planning, Prediction of Gas Production and Consumption, Energy Efficiency Evaluation, Blast Furnace Gas, Gas Tank Level Prediction, Energy Efficiency Evaluation and Optimization, Steel Production, Multi-medium Energy Scheduling, Power System