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Graph Database and Graph Computing for Power System Analysis (Hardcover)
Loot Price: R3,283
Discovery Miles 32 830
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Graph Database and Graph Computing for Power System Analysis (Hardcover)
Series: IEEE Press Series on Power and Energy Systems
Expected to ship within 12 - 17 working days
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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. The book’s readers will also find:
Design configurations for a graph-based program to solve linear
equations, differential equations, optimization problems, and more
Detailed demonstrations of graph-based topology analysis, state
estimation, power flow analysis, security-constrained economic
dispatch, automatic generation control, small-signal stability,
transient stability, and other concepts, analysis, and applications
An authorial team with decades of experience in software design and
power systems analysis Graph Database and Graph Computing for Power
System Analysis is essential for researchers and academics in power
systems analysis and energy-related fields, as well as for advanced
graduate students looking to understand this particular set of
technologies.
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