Graph Database and Graph Computing for Power System Analysis Renchang Dai

Graph Database and Graph Computing for Power System Analysis – Ebook Instant Download/Delivery ISBN(s): 9781119903864,1119903866

Product details:

• ISBN-10 ‏ : ‎ 1119903866
• ISBN-13 ‏ : ‎ 978-1119903864
• Author: Renchang Dai, Guangyi Liu 

Graph Database and Graph Computing for Power System Analysis

Understand a new way to model power systems with this comprehensive and practical guide

Graph databases have become one of the essential tools for managing large data systems. Their structure improves over traditional table-based relational databases in that it reconciles more closely to the inherent physics of a power system, enabling it to model the components and the network of a power system in an organic way. The authors’ pioneering research has demonstrated the effectiveness and the potential of graph data management and graph computing to transform power system analysis.

Graph Database and Graph Computing for Power System Analysis presents a comprehensive and accessible introduction to this research and its emerging applications. Programs and applications conventionally modeled for traditional relational databases are reconceived here to incorporate graph computing. The result is a detailed guide which demonstrates the utility and flexibility of this cutting-edge technology.

Table of contents:

Part I Theory and Approaches 

1 Introduction

2 Graph Database

3 Graph Parallel Computing

4 Large-Scale Algebraic Equations

5 High-Dimensional Differential Equations

6 Optimization Problems

7 Graph-Based Machine Learning

Part II Implementations and Applications

8 Power Systems Modelin

9 State Estimation Graph Computing

10 Power Flow Graph Computing

11 Contingency Analysis Graph Computing

12 Economic Dispatch and Unit Commitment

13 Automatic Generation Control

14 Small-Signal Stability

15 Transient Stability

16 Graph-Based Deep Reinforcement Learning on Overload Control

17 Conclusions

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