Data mining for the K-Grid

Ja Hee Kim

doi:10.1109/TD-ASIA.2009.5356845

Data mining for the K-Grid

Ja Hee Kim

Dept. of Industrial Information Systems

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

1 Scopus citations

Abstract

Recently, many countries have supported researches on the next generation of the electric grid to decrease the emission of CO₂ and to improve the efficiency of energy generations. A test-bed is planned to be set up for verifying the new technologies including the next electric grid until 2011. Korean next electric grid is named K-Grid. K-Grid will hasten the changes of power systems, their information systems regulations and the relations among the stakeholders. Therefore, it is mandatory to estimate the direction of changes caused by KGrid for designing the new business model and preoccupying the new markets related to energy. I expect the extracting the knowledge pattern from the data of test-bed to help this estimation of these directionalities.

Original language	English
Title of host publication	Transmission and Distribution Conference and Exposition
Subtitle of host publication	Asia and Pacific, T and D Asia 2009
DOIs	https://doi.org/10.1109/TD-ASIA.2009.5356845
State	Published - 16 Dec 2009
Event	Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009 - Seoul, Korea, Republic of Duration: 26 Oct 2009 → 30 Oct 2009

Publication series

Name	Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009

Conference

Conference	Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009
Country/Territory	Korea, Republic of
City	Seoul
Period	26/10/09 → 30/10/09

UN SDGs

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

SDG 13 Climate Action

Keywords

Data mining
K-grid
Smart grid

Access to Document

10.1109/TD-ASIA.2009.5356845

Cite this

@inproceedings{46af58dfd2b24c2dbff9baf23d82aa1d,

title = "Data mining for the K-Grid",

abstract = "Recently, many countries have supported researches on the next generation of the electric grid to decrease the emission of CO2 and to improve the efficiency of energy generations. A test-bed is planned to be set up for verifying the new technologies including the next electric grid until 2011. Korean next electric grid is named K-Grid. K-Grid will hasten the changes of power systems, their information systems regulations and the relations among the stakeholders. Therefore, it is mandatory to estimate the direction of changes caused by KGrid for designing the new business model and preoccupying the new markets related to energy. I expect the extracting the knowledge pattern from the data of test-bed to help this estimation of these directionalities.",

keywords = "Data mining, K-grid, Smart grid",

author = "Kim, \{Ja Hee\}",

year = "2009",

month = dec,

day = "16",

doi = "10.1109/TD-ASIA.2009.5356845",

language = "English",

isbn = "9781424452309",

series = "Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009",

booktitle = "Transmission and Distribution Conference and Exposition",

note = "Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009 ; Conference date: 26-10-2009 Through 30-10-2009",

}

Kim, JH 2009, Data mining for the K-Grid. in Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009., 5356845, Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009, Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009, Seoul, Korea, Republic of, 26/10/09. https://doi.org/10.1109/TD-ASIA.2009.5356845

TY - GEN

T1 - Data mining for the K-Grid

AU - Kim, Ja Hee

PY - 2009/12/16

Y1 - 2009/12/16

N2 - Recently, many countries have supported researches on the next generation of the electric grid to decrease the emission of CO2 and to improve the efficiency of energy generations. A test-bed is planned to be set up for verifying the new technologies including the next electric grid until 2011. Korean next electric grid is named K-Grid. K-Grid will hasten the changes of power systems, their information systems regulations and the relations among the stakeholders. Therefore, it is mandatory to estimate the direction of changes caused by KGrid for designing the new business model and preoccupying the new markets related to energy. I expect the extracting the knowledge pattern from the data of test-bed to help this estimation of these directionalities.

AB - Recently, many countries have supported researches on the next generation of the electric grid to decrease the emission of CO2 and to improve the efficiency of energy generations. A test-bed is planned to be set up for verifying the new technologies including the next electric grid until 2011. Korean next electric grid is named K-Grid. K-Grid will hasten the changes of power systems, their information systems regulations and the relations among the stakeholders. Therefore, it is mandatory to estimate the direction of changes caused by KGrid for designing the new business model and preoccupying the new markets related to energy. I expect the extracting the knowledge pattern from the data of test-bed to help this estimation of these directionalities.

KW - Data mining

KW - K-grid

KW - Smart grid

UR - https://www.scopus.com/pages/publications/76249113929

U2 - 10.1109/TD-ASIA.2009.5356845

DO - 10.1109/TD-ASIA.2009.5356845

M3 - Conference contribution

AN - SCOPUS:76249113929

SN - 9781424452309

T3 - Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009

BT - Transmission and Distribution Conference and Exposition

T2 - Transmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009

Y2 - 26 October 2009 through 30 October 2009

ER -

Data mining for the K-Grid

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this