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Big Data of Smart Grid课程列表：

Chapter 1 What is Big Data

-Course Introduction and Overview of Big Data

-Chapter 1

-Big data review literature

Chapter 2 Big Data of Smart Grid（BDSG）

-2.1 Why Electirc Power + Big Data? 2.2 Applications

-Chapter 2

-An important application of big data in electric power——literature on the identification of small targets such as faults

Chapter 3 Main Application Fields of BDSG

-3.1 Grid Operation and Development

-3.2 Power Consumers

-3.3 Society and Government

-Chapter3

-Related literature on big data applications from the user perspective

Chapter 4 Technology System of BDSG

-4.1 Data Acquisition+4.2 Data Storage

-4.3 Data Processing

-4.4 Data Analysis and Mining

-4.5 Data Visualization

-4.6 Data Security and Privacy Protection

-Chapter4

-Load forecasting technology related literature

Chapter 5 Research Methods and Application Methods of BDSG

-5.1.1Platform Construction: Demand Analysis

-5.1.2Platform Construction: Design (1)

-5.1.2Platform Construction: Design (2)

-5.2 Data collection and management

-5.3.1 Data Aggregation and Fusion: Scheme and process

-5.3.2 Data Aggregation and Fusion: Application Practice

-5.4.1 Analysis and Mining: Scheme and process

-5.4.2 Analysis and Mining: Use-case analysis

-Chapter5

-Commonly used electric power big data deep learning method——application literature of transfer learning

Chapter 6 Project Cases of BDSG

-6.1 Heavy overload prediction of station area

-6.2 Daily load forecasting of large users

-6.3 Fault correlation analysis of power grid control system equipment

-6.4 Reliability of relay protection equipment family-

-6.5Application of random matrix in big data analysis of smart grid

-Chapter6

-Literature on Power Vision Data Processing Technology

Chapter 7 Prospect of BDSG

-Development trend and suggestions for BDIG

-Chapter7

-Intelligent Disaster or Failure Recognition Means——Related Literature of Electric Power Vision Big Data

Commonly used electric power big data deep learning method——application literature of transfer learning笔记与讨论

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