Session 4 New Methods for Wind Forecasting

Tuesday, 9 January 2018: 8:30 AM-10:00 AM
Room 15 (ACC) (Austin, Texas)
Host: Ninth Conference on Weather, Climate, and the New Energy Economy
Cochairs:
Justin Sharp, Sharply Focused LLC, Portland, OR and Bradfield Lyon, Columbia University/IRI, Palisades, NY

Abstracts related to statistical processes for wind speed and power prediction.

Papers:
8:30 AM
4.1
A Statistical Approach to Forecasting of Seasonal Anomalies in Wind for Renewable Power Production
Fred Schmude, StormGeo, Houston, TX; and K. Larson and J. Basciani
Recorded Presentation

8:45 AM
4.2
Improving the Analog Ensemble Wind Power Forecasts for Rare Events
Stefano Alessandrini, NCAR, Boulder, CO; and L. Delle Monache, S. Sperati, and S. E. Haupt
Recorded Presentation

9:00 AM
4.3
Generating Wind Power Scenarios for Probabilistic Ramp Event Prediction Using Multivariate Statistical Post-Processing
Rochelle Worsnop, Univ. of Colorado, Boulder, CO; and M. Scheuerer, T. M. Hamill, and J. K. Lundquist
Recorded Presentation

9:15 AM
4.4
Benefits of a Multimodel Ensemble for Hub-Height Wind Prediction in Mountainous Terrain
David M. Siuta, Univ. of British Columbia, Vancouver, BC, Canada; and R. B. Stull
Recorded Presentation

9:30 AM
4.5
2017−18 HRRRv3/RAPv4 Cloud and Wind Modeling/Assimilation Improvements toward Increased Renewable Penetration
Stan Benjamin, NOAA/ESRL, Boulder, CO; and J. B. Olson, J. S. Kenyon, T. Ladwig, E. P. James, C. R. Alexander, M. Hu, J. M. Brown, S. S. Weygandt, and M. Marquis
Recorded Presentation

9:45 AM
4.6
Very Short-Term Wind Power Forecasting Using Remote Sensing Data: Experiments with a LIDAR Simulator
Laura Valldecabres Sanmartin, Forwind, Univ. of Oldenburg, Oldenburg, Germany; and G. Steinfeld, L. von Bremen, and M. Kühn

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