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Titlebook: Collaborative Optimization of Complex Energy Systems; Applications in Iron Dinghui Wu,Junyan Fan,Hongtao Hu Book 2023 The Editor(s) (if app

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11#
發(fā)表于 2025-3-23 11:01:57 | 只看該作者
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發(fā)表于 2025-3-24 01:03:19 | 只看該作者
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發(fā)表于 2025-3-24 04:56:20 | 只看該作者
16#
發(fā)表于 2025-3-24 10:24:45 | 只看該作者
,Energy System Analysis and?Modeling, systems involve multiple energy sources coupled with each other as energy media, modeling and analysis of energy systems are the primary tasks to carry out energy management research. This chapter introduces the basic components of the energy system and analyzes the processes of energy generation,
17#
發(fā)表于 2025-3-24 11:06:54 | 只看該作者
,Energy Efficiency Evaluation and?Optimization Methods,h the target of “carbon peaking and carbon neutrality goals”, iron and steel enterprises are adopting advanced technology and developing a circular economy. This is intended to achieve the best energy efficiency and environmental protection. Therefore, the optimization of energy efficiency indicator
18#
發(fā)表于 2025-3-24 17:17:03 | 只看該作者
,Energy Planning Optimization of?Iron and?Steel Enterprises,n costs has always been a common concern in academia and the industry [., .]. In order to effectively reduce costs and energy consumption, it is necessary to conduct multi-level and multi-type research on the rational utilization and optimization of energy.
19#
發(fā)表于 2025-3-24 19:11:30 | 只看該作者
,Prediction of?Production and?Consumption of?BFG,of production and consumption of BFG. Subsequently, the amount of BFG is rationally allocated to each consuming unit. Affected by complex factors such as abnormal production conditions, the production and consumption of BFG will fluctuate violently, and its fluctuation trend has a certain randomness
20#
發(fā)表于 2025-3-24 23:42:05 | 只看該作者
,Multi-step Holder Level Prediction of?Blast Furnace Gas,nd time attention mechanism applied to BFG prediction is developed to solve the problem of feature weight and time step weight allocation. Firstly, a composite prediction model is constructed based on both the attention mechanism and Elman neural network. Meanwhile, the attention weight matrix is us
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