Method and device for detecting abnormal electricity consumption data
A data detection and abnormal data technology, applied in the field of data detection, can solve problems such as low efficiency and poor accuracy, and achieve the effects of fast convergence, improved efficiency, and increased accuracy
Active Publication Date: 2020-12-25
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
View PDF6 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] Based on this, it is necessary to provide a method and device for detecting abnormal electricity data based on big data analysis and neural network intelligent algorithms in order to solve the problem of low efficiency and poor accuracy in the detection of abnormal electricity data by relying on manual experience diagnosis methods.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0025] The content of the present invention will be described in further detail below with reference to the preferred embodiments and the accompanying drawings. Obviously, the embodiments described below are only used to explain the present invention, but not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. It should be noted that, for the convenience of description, the accompanying drawings only show some but not all contents related to the present invention.
[0026] figure 1 It is a schematic flowchart of the method for detecting abnormal power consumption data of the present invention in one embodiment, such as figure 1 As shown, the method for detecting abnormal power consumption data in the embodiment of the present invention includes the following steps:
[0027] Step S110, ob...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to an electricity consumption anomaly data detection method and device, and belongs to the technical field of data detection. The method includes the following steps: firstly, acquiring to-be-tested power consumption time sequence data and an electricity consumption anomaly data detection model, wherein the electricity consumption anomaly data detection model is obtained through extracting feature values of historic electricity consumption big-data and utilizing the feature values to train an improved BP neural-network model; utilizing an improved activation function to dynamically adjust node connection weights in the improved BP neural-network model when the improved BP neural-network model is trained; and finally, adopting the electricity consumption anomaly data detection model to detect and analyze the to-be-tested electricity consumption time sequence data to determine anomaly data in the to-be-tested electricity consumption time sequence data. According tothe above-mentioned electricity consumption anomaly data detection method and device, historical big-data analysis and a BP neural-network intelligent-algorithm are effectively combined to replace artificial experience rule diagnosis, and electricity consumption anomaly data detection efficiency and accuracy can be greatly improved.
Description
technical field [0001] The present invention relates to the technical field of data detection, in particular to a method and device for detecting abnormal electricity consumption data. Background technique [0002] With the rapid development of power system information technology, the power grid information system has generated a large amount of electricity consumption data. In the process of power grid production and operation, due to data transmission interference and multi-source data fusion and aliasing, there may be large errors in the measurement of distribution network data, that is, abnormal power consumption data, which reduces the power consumption data. Quality, accurate analysis of power grid operation status and user power consumption behavior. It can be seen that it is particularly important to identify and detect abnormal electricity consumption data. [0003] At present, a diagnostic method that relies on manual experience is often used to detect abnormal p...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/08
CPCG06N3/084
Inventor 赵云何恒靖肖勇钱斌郑楷洪周密
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD