Session: Machine Learning Applications in the Energy Sector (100th American Meteorological Society Annual Meeting)

Thursday, 16 January 2020: 10:30 AM-12:00 PM

Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; and the 11th Conference on Weather, Climate, and the New Energy Economy )

Cochairs:

Tyler C. McCandless, NCAR, Research Applications Laboratory, Boulder, CO and Sue Ellen Haupt, NCAR, Research Applications Laboratory, Boulder, CO

Machine learning applications related to energy.

Papers:

10:30 AM

J66.1

Machine and Deep Learning Methods for Fault Detection and Classification in Photovoltaic Modules

Warren James Brettenny, Nelson Mandela University, Port Elizabeth, South Africa; and C. W. Dunderdale, C. M. Clohessy, E. E. van Dyk, and G. D. Sharp

10:45 AM

J66.2

New developments in weather-based power outage prediction modeling

Diego Cerrai, Univ. of Connecticut, Storrs, CT; and P. Watson, M. Koukoula, F. Yang, and E. Anagnostou

11:00 AM

J66.3

Performance of Alternate Machine Learning Configurations for the 0-120 Hour Prediction of Extreme Wind Gusts for Outage Management in the Consolidated Edison Company of New York Service Area

John W. Zack, MESO, Inc., Troy, NY; and J. M. Freedman, M. Berlinger, and C. Cheng

11:15 AM

J66.4

Comparing Implicit vs Explicit Regime Identification in Machine Learning Approaches to Short-Range Solar Power Forecasting

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