| Record ID | harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:194883879:1416 |
| Source | harvard_bibliographic_metadata |
| Download Link | /show-records/harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:194883879:1416?format=raw |
LEADER: 01416nam a2200349Ia 4500
001 013164769-5
005 20120424022831.0
006 m o d f
008 120124s2011 coua ob f000 0 eng d
035 0 $aocn773757518
035 $a(FDLP)ocn773757518
040 $aGPO$cGPO
043 $an-us---
074 $a0430-P-17 (online)
086 0 $aE 9.28:NREL/PO-5500-53526
100 1 $aClifton, Andrew.
245 10 $aRevealing the impact of climate variability on the wind resource using data mining techniques$h[electronic resource] /$cAndrew Clifton, Julie K. Lundquist.
260 $a[Golden, Colo.] :$bNational Renewable Energy Laboratory,$c[2011]
300 $a1 online resource ([1] p.) :$bcol. ill.
490 1 $aNREL/PO ;$v5500-53526
500 $aTitle from PDF title screen (viewed Jan. 12, 2012).
500 $a"December 5-9, 2011."
504 $aIncludes bibliographical references.
536 $aThis work was supported by the Department of Energy, Office of Energy Efficiency and Renewable Energy.
650 0 $aWind power$xEnvironmental aspects$zUnited States.
650 0 $aWind power$xResearch$zUnited States.
700 1 $aLundquist, Julie K.
710 2 $aNational Renewable Energy Laboratory (U.S.)
710 1 $aUnited States.$bDepartment of Energy.$bOffice of Energy Efficiency and Renewable Energy.
830 0 $aNREL/PO ;$v5500-53526.
988 $a20120424
906 $0OCLC