J4 AI Applications in the Energy Sector

Monday, 29 January 2024: 4:30 PM-6:00 PM
347/348 (The Baltimore Convention Center)
Hosts: (Joint between the 15th Conference on Weather, Water, Climate, and the New Energy Economy; and the 23rd Conference on Artificial Intelligence for Environmental Science )

Papers:
4:30 PM
J4.1
Predictive Intelligence for Lightning Events: A Machine Learning Solution to Mitigate Risks in Power Energy Operations
Luis Pavam, UFPR - Federal University of Parana, Curitiba, Brazil; SIMEPAR - Parana Environmental Technology and Monitoring Service, Curitiba, PR, Brazil; and C. Beneti, L. E. S. Oliveira, M. A. Z. Alves, and L. Calvetti

4:45 PM
J4.2
From High Impact Weather Nowcasting to Power Outage Prediction Using Machine Learning - A Short-Term R2O Project in Southern Brazil
Cesar Beneti, SIMEPAR - Parana Environmental Technology and Monitoring Service, Curitiba, PR, Brazil; and L. Calvetti, S. Paz, J. Silva Jr., R. T. Inouye, F. Verdelho, R. Lins da Rocha Jr., L. Pavam, G. Rasera, and M. V. Cardoso

5:00 PM
J4.3
Improved Power Outage Restoration Predictions using Neural Networks
Brennan Joseph Stutsrim, Univ. at Albany, Albany, NY; and N. P. Bassill and K. J. Sulia

5:15 PM
J4.4
Forecasting Energy Poverty for Missouri using different Machine Learning Techniques
Sarah Sharlene Balkissoon, University of Missouri, Columbia, MO

5:30 PM
J4.5
Bridging Real-World Lidar Measurements and Large-Eddy Simulation for Wind Turbine Validation Through Diffusion Models
Alex Rybchuk, National Renewable Energy Laboratory, Golden, CO; and P. Doubrawa, S. Letizia, N. Hamilton, A. Scholbrock, E. Maric, and L. A. Martínez-Tossas

5:45 PM
J4.6
Evaluating Bias Correction Methods for Gridded WRF Output Using Floating LiDAR Buoy Measurements
Polina Khapikova, TGS, Houston, TX; California Institute of Technology, Pasadena, CA; and K. Brennan, S. J. Eichelberger, PhD, B. Lasscock, and A. Sansal

- Indicates paper has been withdrawn from meeting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