Session 3 Forecast Evaluation and Use of Probabilistic Forecasts for Energy Applications

Monday, 29 January 2024: 1:45 PM-3:00 PM
347/348 (The Baltimore Convention Center)
Host: 15th Conference on Weather, Water, Climate, and the New Energy Economy
Cochairs:
Dr. John W. Zack, MESO, Inc, Troy, NY and Jeffrey Michael Freedman

Papers:
1:45 PM
3.1
Cost contingency analysis of sky-imager-based bias-correction of cloud-cover fraction forecasts
Yamila Garcia, University of Connecticut, Storrs, CT; and A. Haegele, Y. Yin, and M. Peña

2:00 PM
3.2
The Successful Integration of Offshore Wind Energy into the British Power Grid may Require a Miracle.
Kevin F Forbes, Energy and Environmental Data Science, Malahide, D, Ireland

2:15 PM
3.3
Unlocking Opportunities: How Calibrated Long-range Forecasts Benefit Energy Meteoorlogists.
Jan Dutton, Prescient Weather Ltd, State College, PA

2:30 PM
3.4
Application of A Statistical Climate Model for Power Grid Resource Adequacy Planning
Rob Cirincione, Sunairio, Baltimore, MD; and T. Ivancic, B. Ho, and E. Hewitt

2:45 PM
3.5
A Machine Learning Based Approach to Predicting Probabilistic Power Generation at Individual Wind Farms in ERCOT
Maxfield E Green, MA, Tomorrow.io, Fort Collins, CO; and T. McCandless, L. Conibear, B. Taylor, A. E. Payne, A. Reed Harris, K. Keshavamurthy, and S. Flampouris

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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