Typical service scene-based energy big data aggregation analysis method

Abstract

The invention provides an energy big data aggregation analysis method based on a typical service scene. The method comprises the following steps: acquiring energy big data under multiple service scenes; classifying the energy big data to obtain the type of the energy big data; wherein the type of the energy big data is a time series data type, a spatial data type or a spatio-temporal data type; based on an adaptive aggregation algorithm corresponding to the same type of energy big data, aggregating the same type of energy big data to obtain integrated data; wherein the adaptive aggregation algorithm corresponding to any type of energy big data is obtained by performing aggregation validity evaluation on each aggregation method based on any type of energy big data; and carrying out information sharing and collaborative management based on the integrated data. According to the method provided by the invention, the effectiveness of data aggregation is improved for different requirements of typical business scenes, and cross-region, cross-domain and cross-department information sharing and intelligent collaborative management are realized.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for aggregation and analysis of energy big data based on typical business scenarios. Background technique [0002] As an important part of the construction of new infrastructure in the energy field, the energy big data center can effectively evaluate the efficiency of energy use and the carrying capacity of renewable energy in the power grid based on it, so as to promote the integrated and innovative development of the energy industry in the new era. [0003] In typical energy business scenarios, high-frequency interactive data such as modeling, aggregation, and analysis of smart device data and public data will generate huge value in energy services. However, typical energy business scenarios are different, and energy interaction data sources are distributed in different regions and institutions, so it is difficult for current aggregation technologies to aggrega...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an energy big data aggregation and analysis method based on typical business scenarios, which is used to solve the defects in the prior art that the energy interaction data sources are distributed in different regions and institutions for different typical energy business scenarios, and it is difficult to perform effective aggregation.

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