Joint Session 65 Machine Learning Applications in the Energy Sector

Thursday, 16 January 2020: 10:30 AM-12:00 PM
156A (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; the 11th Conference on Weather, Climate, and the New Energy Economy; and the Events )
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.

10:30 AM
Machine and Deep Learning Methods for Fault Detection and Classification in Photovoltaic Modules
Warren James Brettenny, Nelson Mandela Univ., Port Elizabeth, South Africa; and C. W. Dunderdale, C. M. Clohessy, E. E. van Dyk, and G. D. Sharp

10:45 AM
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
11:30 AM
Optimizing Training Windows for Wind and Solar Generation Forecasting
Daniel B Kirk-Davidoff, EPRI, Albany, NY; and P. Tardaguila and T. Melino
11:45 AM
A Deep Learning Framework for Forecasting Power in a Full-Scale Wind Farm
Rajitha Meka, Univ. of Texas at San Antonio, San Antonio, TX; and K. Bhaganagar and A. Alaeddini
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner