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- W3165497918 abstract "With the promotion of the concept of smart city, every industry in the city needs to become more intelligent. As a pillar industry of economic development, the energy-intensive steel plant has brought challenges to the city environment. Factories in cities also need to be more intelligent. The application of artificial intelligence and data technology has become one of the important meaning to improve the management level of steel plant and to improve the city environment. As a modern management tool, energy management system provides a new way of intelligent management for iron and steel companies. The energy management system can be used to monitor the energy consumption in real time, master the energy consumption of the company and allocate the energy consumption of the company. So we can get better production plan, reduce the energy consumption of the company, and improve the competitiveness of the company. Two functions, energy allocation and energy consumption prediction, are developed in the energy management system. According to the formula of iron balance and the relationship between iron and energy consumption in each production unit, the mathematical model of energy allocation is established and applied in the energy management system. Another one of the functions of the energy management system is to predict the energy consumption of steel companies with maximum prediction error is about 5%, which provides the basis for the auxiliary decision-making of energy management. The forecasted results can be used to better understand the trend of energy consumption of the whole company, so as to do a good decision of energy reserve and reduce unnecessary waste." @default.
- W3165497918 created "2021-06-07" @default.
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- W3165497918 date "2020-01-01" @default.
- W3165497918 modified "2023-09-25" @default.
- W3165497918 title "Energy decision making of steel company based on energy management system" @default.
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- W3165497918 doi "https://doi.org/10.1016/j.ifacol.2021.04.151" @default.
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