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contributor authorBianco, Laura
contributor authorDjalalova, Irina V.
contributor authorWilczak, James M.
contributor authorCline, Joel
contributor authorCalvert, Stan
contributor authorKonopleva-Akish, Elena
contributor authorFinley, Cathy
contributor authorFreedman, Jeffrey
date accessioned2017-06-09T17:37:15Z
date available2017-06-09T17:37:15Z
date copyright2016/08/01
date issued2016
identifier issn0882-8156
identifier otherams-88194.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231947
description abstractwind energy Ramp Tool and Metric (RT&M) has been developed out of recognition that during significant ramp events (large changes in wind power over short periods of time ) it is more difficult to balance the electric load with power production than during quiescent periods between ramp events. A ramp-specific metric is needed because standard metrics do not give special consideration to ramp events and hence may not provide an appropriate measure of model skill or skill improvement. This RT&M has three components. The first identifies ramp events in the power time series. The second matches in time forecast and observed ramps. The third determines a skill score of the forecast model. This is calculated from a utility operator?s perspective, incorporates phase and duration errors in time as well as power amplitude errors, and recognizes that up and down ramps have different impacts on grid operation. The RT&M integrates skill over a matrix of ramp events of varying amplitudes and durations.
publisherAmerican Meteorological Society
titleA Wind Energy Ramp Tool and Metric for Measuring the Skill of Numerical Weather Prediction Models
typeJournal Paper
journal volume31
journal issue4
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-15-0144.1
journal fristpage1137
journal lastpage1156
treeWeather and Forecasting:;2016:;volume( 031 ):;issue: 004
contenttypeFulltext


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