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Diversified heterogeneous data cleaning method for load prediction of power grid

A data cleaning and power grid load technology, which is applied in forecasting, data processing applications, instruments, etc., can solve problems such as data duplication, data missing, low load forecast accuracy, and low data quality, so as to improve accuracy and improve data quality. Quality, the effect of solving data inaccuracy

Active Publication Date: 2016-12-07
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0003] The accuracy of load forecasting is directly related to the quality of basic data. However, in the current load forecasting method, due to problems in receipt collection, there are some "bad data" in the system data, such as data duplication, data missing, etc., resulting in The quality of the data is not high, which leads to the accuracy of load forecasting is not high

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  • Diversified heterogeneous data cleaning method for load prediction of power grid
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  • Diversified heterogeneous data cleaning method for load prediction of power grid

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[0048] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0049] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element refe...

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Abstract

The invention provides a diversified heterogeneous data cleaning method for load prediction of a power grid. The method comprises the following steps that the distribution characteristic of operation data of diversified heterogeneous equipment is analyzed to obtain effective operation data; the effective operation data is subjected to data recognition processing to obtain a complete data source; the complete data source is subjected to standardization processing to obtain a clean data source. By means of the diversified heterogeneous data cleaning method for load prediction of the power grid, the data quality can be effectively improved, and then the accuracy of load prediction of the power grid can be improved.

Description

technical field [0001] The invention relates to the technical field of demand-side load management, in particular to a multivariate heterogeneous data cleaning method for grid load forecasting. Background technique [0002] Power demand side management has strict requirements on the accuracy of load forecasting. As an important basis for the modernization of electric power enterprise management, the level of load forecasting plays an important role in the operation and management of electric power enterprises. Through load forecasting analysis, it is helpful for power companies to grasp the development trend of power system load, effectively guide power operations, and prepare for high loads in advance, thereby realizing demand-side management, improving load characteristics and contradictions between supply and demand, and improving power system efficiency. Operating efficiency and electricity management are gradually moving towards the market. [0003] The accuracy of lo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 邵华贺春光李树水安佳坤马国真胡诗尧赵红波袁成勇韩文源翟广心刘鹏谢晓琳张昭旭周兴华蔡正勇康伟任志刚凌云鹏王颖孙轶良孙鹏飞袁博韩璟琳王宁张帅马聪宁杰石亚欣
Owner STATE GRID CORP OF CHINA
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