提高工业企业能源效率的预测分析

2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI:10.1109/SIST54437.2022.9945720

S. Kiyko, E. Druzhinin, O. Prokhorov, V. Kosenko, Ihor V. Biletskyi, Mykhailo Kovalevskyi

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引用次数: 0

摘要

考虑了工业企业能源消耗的预测和规划方法，用于企业能源消耗的监测、控制和优化过程，以及制定能效战略。采用了智能数据分析、智能体建模、人工智能和组合优化等方法。开发的方法和软件在PJSC“dniprospetsal”中用于解决节能项目和能源消耗过程的管理问题。对某冶金企业的能耗量和能耗效率进行了评价。这使得冶金企业能够明智地选择节能方向，并评估节能计划的有效性。

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Predictive Analytics for Increasing the Energy Efficiency of Industrial Enterprises

Methods of forecasting and planning of energy consumption of industrial enterprises used in the process of monitoring, control and optimization of energy consumption at the enterprise, as well as for development of energy efficiency strategy are considered. Methods of intelligent data analysis, agent modeling, artificial intelligence and combinatorial optimization methods are used. The developed methodological and software is used in PJSC “Dniprospetsstal” in solving problems of management of energy saving projects and energy consumption processes. An assessment of the volume and efficiency of energy consumption at the metallurgical enterprise was conducted. This allowed to make an informed choice of energy saving directions at the metallurgical enterprise and to evaluate the effectiveness of the energy saving program.

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2022 International Conference on Smart Information Systems and Technologies (SIST)

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