Production energy consumption prediction method and system based on neural network, electronic terminal and storage medium

Abstract

The invention provides a production energy consumption prediction method and system based on a neural network, an electronic terminal and a storage medium, and the method comprises the steps of determining one or more production feature parameters related to a production technology, and selecting a production data complete set in a preset time period based on the generation feature parameters; screening out a production data subset related to production energy consumption from the production data complete set; normalizing the production data subset to generate model training data; and establishing a neural network prediction model based on the model training data, wherein the neural network prediction model is used for predicting production energy consumption data. According to the invention, the technical problems of vacancy, low precision, single influence factor and the like of the energy consumption prediction technology in the enterprise production process in the prior art can besolved, so that users are helped to accurately and efficiently predict energy consumption data, and the requirements of energy conservation and efficiency improvement of enterprises are met.

Description

technical field [0001] The invention relates to the field of energy technology, in particular to a neural network-based production energy consumption prediction method, system, electronic terminal and storage medium. Background technique [0002] In the production process of enterprises, energy consumption is indispensable, so how to realize energy-saving prediction is particularly critical for the production of the whole enterprise. [0003] At present, enterprises are generally in a state of vacancy for energy consumption forecasting. Even if a few enterprises have implemented energy consumption forecasting, they are limited to obtaining forecasted values ​​through year-on-year and quarter-on-quarter growth patterns or by calculating average values. However, these energy consumption prediction methods cannot meet the requirements of enterprises for energy conservation and efficiency improvement in terms of comprehensiveness of factors considered, accuracy of prediction, an...

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Problems solved by technology

[0004] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a neural network-based production energy consumption prediction method, system, electronic terminal and storage medium, which are used to solve the energy consumption prediction technology of the prior art in the production process of enterprises. Technical problems such as vacancy, low precision and single influencing factors

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