Loss reduction measure making method based on synchronous line loss abnormity identification
A loss reduction measure and line loss technology, applied in neural learning methods, character and pattern recognition, data processing applications, etc., can solve problems such as the mismatch of influencing factors
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment approach
[0019] The present invention proposes a method for formulating loss reduction measures based on abnormal line loss identification in the same period. A high line loss area in Gansu is selected for simulation verification. The specific technical implementation plan is as follows:
[0020] 1. Select the historical sample data of the area. In this example, select 200 sample data, including 10 normal line loss data, 10 abnormal line loss data, and 180 unknown abnormal data.
[0021] 2. According to the calculation method of step 2 of the technical solution proposed in the content of the invention, the characteristic index values of the selected samples are calculated respectively, and the normal data (1 type sample) of known characteristic values and the abnormal data (2 type samples) of known characteristic values are obtained. , unknown abnormality data (3 model samples) with known eigenvalues are shown in the following table:
[0022] (1) 1 model sample data
[0023] T...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com