Mining and visualization method for supply and distribution energy consumption data in big-data environment

Abstract

Along with the quick development of computer software and hardware technology and the wide application of the Internet, the information technology generates a large amount of data information in all fields, such as life, production, scientific research, army, and power supply and distribution. The mining and visualization of supply and distribution energy consumption data becomes a challenge under the condition of complex and redundant big data. The invention proposes a mining and visualization method for supply and distribution energy consumption data in a big-data environment, and relates to a sparse cording algorithm based on deep learning. The method comprises the steps: on the one hand, employing a dictionary learning method of a coordinate descent method to adjust the dictionary parameters in sparse coding; on the other hand, learning main correlation characteristics of supply and distribution energy consumption data through a conjugate gradient descent method, thereby achieving the dimensionality reduction and linearization of redundant data, and achieving data mining. The method employs a Weka data-mining working platform, is combined with an interface file of Weka software, integrates the above methods in Weka, and achieves the data mining and the visualization on a new interactive interface.

Description

technical field [0001] A mining and visualization method for power supply and distribution energy consumption data, especially a mining and visualization method for power supply and distribution energy consumption data in a big data environment Background technique [0002] In recent years, with the rapid development of computer software and hardware technology and the wide application of the Internet, information technology has produced a large amount of information in various fields such as life, production, scientific research, and so on, especially in the field of power supply and distribution. The size of the data set for power supply and distribution is growing at an unimaginable rate, which brings great challenges to data processing. How to quickly process and analyze a large number of multi-dimensional data information with different attributes, so as to obtain the information of required energy consumption, has become one of the hot topics for scholars to study. Di...

AI Technical Summary

Problems solved by technology

However, how to dig out the energy consumption data information in the big data information of power supply and distribution, and realize the interpretation of the big data information in a visual way has become a difficult problem

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