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Title: Using Data Mining to Enable Integration of Wind Resources on the Power Grid

Authors:
;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1077197
Report Number(s):
LLNL-JRNL-562015
Journal ID: ISSN 1932-1872
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Journal Article
Journal Name:
Statistical Analysis and Data Mining: The ASA Data Science Journal
Additional Journal Information:
Journal Volume: 5; Journal Issue: 5; Journal ID: ISSN 1932-1872
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats

Kamath, C, and Fan, Y J. Using Data Mining to Enable Integration of Wind Resources on the Power Grid. United States: N. p., 2012. Web. doi:10.1002/sam.11164.
Kamath, C, & Fan, Y J. Using Data Mining to Enable Integration of Wind Resources on the Power Grid. United States. doi:10.1002/sam.11164.
Kamath, C, and Fan, Y J. Sat . "Using Data Mining to Enable Integration of Wind Resources on the Power Grid". United States. doi:10.1002/sam.11164. https://www.osti.gov/servlets/purl/1077197.
@article{osti_1077197,
title = {Using Data Mining to Enable Integration of Wind Resources on the Power Grid},
author = {Kamath, C and Fan, Y J},
abstractNote = {},
doi = {10.1002/sam.11164},
journal = {Statistical Analysis and Data Mining: The ASA Data Science Journal},
issn = {1932-1872},
number = 5,
volume = 5,
place = {United States},
year = {2012},
month = {6}
}