Energy consumption prediction method for improving energy utilization rate of iron and steel enterprise

Abstract

The invention, which belongs to the field of the information technology, relates to an energy consumption prediction method for improving an energy utilization rate of an iron and steel enterprise. A neural network algorithm with error feedback correction learning is used for carrying out prediction. In order to solve a problem of slow convergence speed of the traditional learning method, a momentum is added into an adjusting formula of a weight value and a threshold value, thereby accelerating a training speed of a network. With an adaptive adjusting learning rate, a learning rate of training at an error curved surface flat area is increased; and a learning rate is reduced at a drastic error changing area. On the basis of time-varying-weight-based parameter combination optimization method, distribution of an initial weight value and an initial threshold value is optimized, and good searching space is localized in solution space to avoid a local minimal point. According to the energy consumption prediction method, characteristics of energy consumption of all procedures are taken into consideration; the energy utilization rate is improved; and the energy costs are reduced and thus total production cost is lowered.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to an energy consumption prediction method for improving the energy utilization rate of iron and steel enterprises. Background technique [0002] Iron and steel production is a complex production process with multiple processes, multiple devices and high energy consumption. Energy consumption cost is one of the main costs of the steel industry, accounting for 20-30% of the entire product cost; high energy consumption not only leads to an increase in the cost of steel products, It also means more pollution and emissions; therefore, ensuring continuous, safe and economical energy supply and efficient energy utilization is an important task for energy management and planning of various iron and steel enterprises. [0003] The forecast of energy consumption is an important part of the energy planning of iron and steel enterprises; through the energy consumption forecast...

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Problems solved by technology

[0012] In the above-mentioned patents, the accuracy cannot be guaranteed by using the energy consumption curve for prediction, and the method of using the algorithm library overcomes the shortcomings of a single method, but there are application limitations in terms of the suitability of the algorithm and specific problems and the efficiency of the combined algorithm

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