Graph Database and Graph Computing for Power by Renchang Dai (.ePUB)+
File Size: 24.3 MB
Graph Database and Graph Computing for Power System Analysis by Renchang Dai, Guangyi Liu
Requirements: .ePUB, .PDF reader, 24.3 MB
Overview: 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. Databases play an important role in scientific and non-scientific applications. In power system analysis, equipment such as generators, transmission lines, transformers, loads, shunt capacitors/reactors, circuit breakers, nodes, buses, and their properties are typically organized in structured tables in a database. In power system applications, relational databases are widely used to store and manage power system data and models.
Genre: Non-Fiction > Tech & Devices
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