Session: Statistical and Artificial Intelligence/Machine Learning Applications in the Energy Sector (97th American Meteorological Society Annual Meeting)

Thursday, 26 January 2017: 3:30 PM-5:00 PM

606 (Washington State Convention Center )

Hosts: (Joint between the Eighth Conference on Weather, Climate, Water and the New Energy Economy; and the 15th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences )

Cochairs:

Sue Ellen Haupt, NCAR, Research Applications Laboratory, Boulder, CO and David John Gagne, NCAR, Boulder, CO

Papers:

3:30 PM

J7.1

The Performance Impacts of Machine Learning Design Choices for Gridded Solar Irradiance Forecasting

David John Gagne II, NCAR, Boulder, CO; and S. E. Haupt, A. McGovern, J. K. Williams, and S. Linden

Recorded Presentation

Handout (3.1 MB)

3:45 PM

J7.2

The Accuracy of Solar Energy Forecasts and Prospects for Improvement

Kevin F. Forbes, Catholic Univ. of America, Washington, DC; and E. M. Zampelli

Recorded Presentation

4:00 PM

J7.3

Coupled NWP and Adaptive Machine Learning to Improve Solar and Wind Energy Forecasting for the State of Vermont

Lloyd Treinish, IBM Thomas J. Watson Research Center, Yorktown Heights, NY; and Y. Kim, A. Praino, I. Khabibrakhmanov, J. Cipriani, M. Coombs, and A. Stamp

Recorded Presentation

4:15 PM

J7.4

Application of Self-Organized Map Informed Artificial Neural Networks for Load and Wind Forecasting

Chris Hayes, DNV GL, Portland, OR; and J. C. Collier

Recorded Presentation