Session: Machine Learning Applications in the Energy Sector (Joint with 18th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences) (99th American Meteorological Society Annual Meeting)

Thursday, 10 January 2019: 10:30 AM-12:00 PM

North 129A (Phoenix Convention Center - West and North Buildings)

Hosts: (Joint between the 10th Conference on Weather, Climate, and the New Energy Economy; and the 18th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences )

Cochairs:

David John Gagne II, NCAR, Boulder, CO and Lawrence Gloeckler III, Riskpulse, Philadelphia, PA

Papers:

10:30 AM

J3.1

Artificial Intelligence and Meteorology Empowering Renewable Energy

Sue Ellen Haupt, NCAR, Boulder, CO

Recorded Presentation

11:00 AM

J3.2

Statistical Modeling of Wind Plant Power Production: Contrasting Different Machine Learning Algorithms and Atmospheric Features

Mike Optis, National Renewable Energy Laboratory, Golden, CO

Handout (1.6 MB)

11:15 AM

J3.3

The Super Turbine Wind Power Conversion Paradox: Using Machine Learning to Overcome Jensen’s Inequality

Tyler C. McCandless, NCAR, Boulder, CO; and S. E. Haupt

Recorded Presentation

11:30 AM

J3.4

The Relationship between GHI and Power in Kuwait

Thomas Brummet, NCAR, Boulder, CO; and G. Wiener and J. A. Lee

Recorded Presentation

J3.5

Reducing Wind Power Prediction Uncertainty with Atmospheric Characterization and Machine Learning Models

- Indicates paper has been withdrawn from meeting

- Indicates an Award Winner

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Joint Session 3 Machine Learning Applications in the Energy Sector (Joint with 18th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences)