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概况

China Southern Power Grid

2017-03-09    Publisher:系统管理员2150

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Background

Automated data acquisition devices are widely used in smart grid

Massive intelligent power consumption data contains a wealth of potential value

User’s behavior analysis and prediction

Abnormal behavior and fraudulent electricity power users

Relationship between economic operation status and power user’s behavior

Massive data analysis for the presence of intelligent electricity

Data noises preprocessing

Multi-source data fusion

Big data analysis model and big data modeling method for the power industry

Efficient data processing platform

 

Solutions

Development of big data analysis based on grid workflow system

Choose different dimensions of customer’s data to classify customer segmentation

Day, Week and Month consumption pattern

User’s background

Users Geographic Information

User’s Power Equipment Information

Through customer segmentation, access to the user different power modes

Working double shifts, three shifts, four shifts system

Shift holiday weekend

Nighttime peak

Comparison between electricity industry models
Consumption pattern of different industries in different regions

Holidays and consumption pattern trend forecast



 


Doctoral tutor

  • Prof. Zhexue Huang

    Prof. Zhexue Huang

    Guangdong Province leading talent Shenzhen University Chair Professor State In..
  • Prof. Zhong Ming

    Prof. Zhong Ming

    Shenzhen Pengcheng scholar Professor Secondary Shenzhen University professor E..
  • Prof. Xizhao Wang

    Prof. Xizhao Wang

    Prof. Xizhao Wang,Ph.D., ProfessorI,EEE Fellow,Springer magazine Machine Learnin..

Research project

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