Research and Analysis of Power Outage Dispatch Control System Based on Customer Zero-Blackout Awareness
Description
The paper deeply analyzes the sensitivity of customer blackout perception andthe user perception model. The K-Means clustering algorithm is used for clustering. By analyzing and summarizing the user's perception of the blackout event, the user is divided into perceptions. By constructing the user perception model, the user perception classification of fault events is realized for the first time, and the decision basis for personalized active services is provided. The user perception model is of great significance to the customer service business application. Based on the perception segmentation result, the user can be provided with personalized and active services. Finally, the paper proposes to establish a power outage management system with no power outage, aiming to improve the service quality of current power customers. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/677/4/042065Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 677
- Journal Issue
- 4
- Journal Page Range
- [7 p.]
- ISSN
- 1757-899X
Conference
- Title
- 4. International Conference on Insulating Materials, Material Application and Electrical Engineering
- Dates
- 12-13 Oct 2019
- Place
- Melbourne (Australia)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54077727
- Subject category
- S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; CLASSIFICATION; CONTROL SYSTEMS; ENERGY MANAGEMENT; OUTAGES; SENSITIVITY
- Descriptors DEC
- MANAGEMENT; MATHEMATICAL LOGIC