TY - GEN
T1 - Spatial prediction of wind farm outputs using the Augmented Kriging-based Model
AU - Hur, Jin
AU - Baldick, Ross
PY - 2012
Y1 - 2012
N2 - Wind generating resources have been increasing more rapidly than any other renewable generating resources. Wind farm output prediction is an important issue for deploying higher wind power penetrations on power grids. The existing work on wind farm output prediction has focused on the temporal issues. As wind farm outputs depend on natural wind resources that vary over space and time, spatial analysis and modeling is also needed. Predictions about suitability for locating new wind generating resources can be performed by optimal spatial modeling. In this paper, a new approach to spatial prediction of wind farm outputs is proposed using the Augmented Kriging-based Model (AKM).
AB - Wind generating resources have been increasing more rapidly than any other renewable generating resources. Wind farm output prediction is an important issue for deploying higher wind power penetrations on power grids. The existing work on wind farm output prediction has focused on the temporal issues. As wind farm outputs depend on natural wind resources that vary over space and time, spatial analysis and modeling is also needed. Predictions about suitability for locating new wind generating resources can be performed by optimal spatial modeling. In this paper, a new approach to spatial prediction of wind farm outputs is proposed using the Augmented Kriging-based Model (AKM).
KW - Augmented Kriging-based Model (AKM)
KW - Spatial Prediction
KW - Universal Kriging (UK)
KW - Wind Generating Resources
UR - http://www.scopus.com/inward/record.url?scp=84870583667&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2012.6345117
DO - 10.1109/PESGM.2012.6345117
M3 - Conference contribution
AN - SCOPUS:84870583667
SN - 9781467327275
T3 - IEEE Power and Energy Society General Meeting
BT - 2012 IEEE Power and Energy Society General Meeting, PES 2012
T2 - 2012 IEEE Power and Energy Society General Meeting, PES 2012
Y2 - 22 July 2012 through 26 July 2012
ER -