Database systems for the smart grid

Zeyar Aung

doi:10.1007/978-1-4471-5210-1_7

Database systems for the smart grid

Zeyar Aung

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

14 Scopus citations

Abstract

In this chapter, two aspects of database systems, namely database management and data mining, for the smart grid are covered. The uses of database management and data mining for the electrical power grid comprising of the interrelated subsystems of power generation, transmission, distribution, and utilization are discussed.

Original language	British English
Title of host publication	Smart Grids
Subtitle of host publication	Opportunities, Developments, and Trends
Publisher	Springer Verlag
Pages	151-168
Number of pages	18
ISBN (Print)	9781447152095
DOIs	https://doi.org/10.1007/978-1-4471-5210-1_7
State	Published - 2013

Publication series

Name	Green Energy and Technology
Volume	132
ISSN (Print)	1865-3529
ISSN (Electronic)	1865-3537

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1007/978-1-4471-5210-1_7

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title = "Database systems for the smart grid",

abstract = "In this chapter, two aspects of database systems, namely database management and data mining, for the smart grid are covered. The uses of database management and data mining for the electrical power grid comprising of the interrelated subsystems of power generation, transmission, distribution, and utilization are discussed.",

author = "Zeyar Aung",

note = "Funding Information: The author thank the Government and Abu Dhabi, United Arab Emirates, for sponsoring this research through its funding of Masdar Institute–Massachusetts Institute of Technology (MIT) collaborative research project titled “Data Mining for Smart Grids”.",

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Y1 - 2013

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U2 - 10.1007/978-1-4471-5210-1_7

DO - 10.1007/978-1-4471-5210-1_7

M3 - Chapter

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PB - Springer Verlag

ER -

Database systems for the smart grid

Abstract

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UN SDGs

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