NDLI: Data mining for the K-Grid

Content Provider	IEEE Xplore Digital Library
Author	Ja-Hee Kim
Copyright Year	2009
Description	Author affiliation: The Graduate School of Public Policy and Information Technology, Seoul National University of Technology, Seoul, Korea (Ja-Hee Kim)
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 K-Grid 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.
Starting Page	1
Ending Page	4
File Size	244946
Page Count	4
File Format	PDF
ISBN	9781424452309
DOI	10.1109/TD-ASIA.2009.5356845
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-26
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system management data mining Predictive models Data mining Power system modeling Load forecasting Power system analysis computing Smart grids Decision trees Mesh generation Testing K-Grid Smart Grid
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

The Application of Data Mining in Electric Short-Term Load Forecasting

Stream analytics for utilities. Predicting power supply and demand in a smart grid

Power Load Forecasting Model Based on Knowledge Discovery for Heilongjiang Province

An Intelligent System for Forecasting the Trend of Consumed Electricity

Short-Term Load Forecasting at the local level using smart meter data

Infrastructure and forecasting models for integrating Natural Gas Grid within smart grids

The short-term electric load forecasting grid model based on MDRBR algorithm

Distribution system analysis and the future Smart Grid

Hybrid cloud computing platform: The next generation IT backbone for smart grid

Data mining for the K-Grid

Similar Documents

The Application of Data Mining in Electric Short-Term Load Forecasting

Stream analytics for utilities. Predicting power supply and demand in a smart grid

Power Load Forecasting Model Based on Knowledge Discovery for Heilongjiang Province

An Intelligent System for Forecasting the Trend of Consumed Electricity

Short-Term Load Forecasting at the local level using smart meter data

Infrastructure and forecasting models for integrating Natural Gas Grid within smart grids

The short-term electric load forecasting grid model based on MDRBR algorithm

Distribution system analysis and the future Smart Grid

Hybrid cloud computing platform: The next generation IT backbone for smart grid

Data mining for the K-Grid